chenyingshu/advances_3d_neural_stylization

Awesome 3D Stylization - Advances in 3D Neural Stylization

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updated Sep 1, 2026

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README

Advances in 3D Neural Stylization

A review of 3D neural stylization papers, mainly neural stylization on 3D data with vision, text, or 3D/4D style reference.

Definition. 3D neural stylization refers to the process that employs deep learning techniques and stylization algorithms to generate stylized 3D digital assets or the stylized rendering from these assets, including the alteration of appearance and/or geometry.

Other variants are also welcomed, e.g., with other/no reference, 3D-aware neural stylization, non-neural 3D stylization.

Contributing

If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request

Feedback and contributions are welcome!

markdown format:

**Here is the Paper Name.**<br>
*[Author 1](homepage), Author 2, and Author 3.*<br>
Conference or Journal Year. <br>
[[Paper](link)] [[Project](link)] [[Github](link)] [[Video](link)] [[Data](link)] <br>
_Features_:
- highlight feature 1
- highlight feature 2

Surveys

Advances in 3D Neural Stylization: A Survey
Yingshu Chen, Guocheng Shao, Ka Chun Shum, Binh-Son Hua, Sai-Kit Yeung. IJCV 2025.

Citation

😊 If you find this work useful, please cite our paper:

@article{chen2025advances,
  title={Advances in 3D neural stylization: a survey},
  author={Chen, Yingshu and Shao, Guocheng and Shum, Ka Chun and Hua, Binh-Son and Yeung, Sai-Kit},
  journal={International Journal of Computer Vision},
  pages={1--36},
  year={2025},
  publisher={Springer}
}

Acknowledgement

The paper was partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. HKUST 16202323) and an internal grant from HKUST (R9429).
Binh-Son Hua is supported by Research Ireland under the Research Ireland Frontiers for the Future Programme - Project, award number 22/FFP-P/11522.

Advances in Neural 3D Mesh Texturing: A Survey [Paper] [Project]
Sai Raj Kishore Perla, Hao (Richard) Zhang, Ali Mahdavi-Amiri. Eurographics STAR (CGF), 2026.

Neural Style Transfer: A Review [Paper] [Project]
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song. TVCG, 2019.

Multimodal Image Synthesis and Editing: The Generative AI Era [Paper] [Project]
Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric Xing. TPAMI, 2023.

Diffusion Models in Vision: A Survey [Paper] [Project]
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah. TPAMI, 2023.

Diffusion Models: A Comprehensive Survey of Methods and Applications [Paper][Project]
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang. ACM Computing Surveys 2023.

State of the Art on Diffusion Models for Visual Computing [Paper] [Project]
Ryan Po, Yifan Wang, Vladislav Golyanik, Kfir Aberman, Jon T. Barron, Amit Bermano, Eric Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Niessner, Björn Ommer, Christian Theobalt, Peter Wonka, and Gordon Wetzstein. State of the Art Report at EUROGRAPHICS 2024.

State of the Art on Neural Rendering [Paper]
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B Goldman, Michael Zollhöfer. State of the Art Report at EUROGRAPHICS 2020.
Neural Rendering [Project] CVPR 2020 Tutorial.
Advances in Neural Rendering [Paper] [Project] SIGGRAPH 2021 Courses.

Advances in Neural Rendering [Paper]
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Niessner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhoefer, Vladislav Golyanik. State of the Art Report at EUROGRAPHICS 2022.

Neural Fields in Visual Computing and Beyond [Paper] [Project]
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar. State of the Art Report at EUROGRAPHICS 2022.
Neural Fields for Visual Computing [Paper] [Project]
Towaki Takikawa, Shunsuke Saito, James Tompkin, Vincent Sitzmann, Srinath Sridhar, Or Litany, Alex Yu. SIGGRAPH 2023 Courses.

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era [Paper]
Chenghao Li, Chaoning Zhang, Atish Waghwase, Lik-Hang Lee, Francois Rameau, Yang Yang, Sung-Ho Bae, Choong Seon Hong

Text-to-3D Shape Generation [Paper] [Project]
Han-Hung Lee, Manolis Savva, and Angel Xuan Chang. State of the Art Report at EUROGRAPHICS 2024.

3D Gaussian Splatting as New Era: A Survey [Paper]
Ben Fei, Jingyi Xu, Rui Zhang, Qingyuan Zhou, Weidong Yang, Ying He. TVCG 2024.

Table of Contents

Overview of 3D Neural Stylization

Image/Video style guidance: Text style guidance: Sound style guidance: 3D/4D style guidance:

Mesh Stylization

Abbr.TitleVenuePaperProjectGithub
CMD CMD: Controllable Multiview Diffusion for 3D Editing and Progressive GenerationSIGGRAPH 2025[Paper][Project][Github(TBA)]
3D Stylization LRM 3D Stylization via Large Reconstruction ModelSIGGRAPH 2025[Paper][Project][Github]
Geometry in Style Geometry in Style: 3D Stylization via Surface Normal DeformationCVPR 2025[Paper][Project][Github]
MeshUp MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation3DV 2025(Honorable Mention)[Paper][Project][Github]
FlashTex FlashTex: Fast Relightable Mesh Texturing with LightControlNetECCV 2024(Oral)[Paper][Project][Github]
TexGen TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and ResamplingECCV 2024[Paper][Project]
TexDreamer TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture GenerationECCV 2024[Paper][Project][Github]
Scene-Conditional 3D Scene-Conditional 3D Object Stylization and CompositionECCV 2024[Paper][Project]
VCD-Texture VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided TexturingECCV 2024[Paper]
MMDMC Towards High-Quality 3D Motion Transfer with Realistic Apparel AnimationECCV 2024[Paper][Data]
StyleCity StyleCity: Large-Scale 3D Urban Scenes StylizationECCV 2024[Paper][Project][Github(TBA)]
Img2LEGO Creating LEGO Figurines From Single ImagesSIGGRAPH 2024[Paper]
CNSTDM Controllable Neural Style Transfer for Dynamic MeshesSIGGRAPH 2024[Paper]
HeadArtist HeadArtist: Text-conditioned 3D Head Generation with Self Score DistillationSIGGRAPH 2024[Paper][Project][Github]
MaPa MaPa: Text-driven Photorealistic Material Painting for 3D ShapesSIGGRAPH 2024 Conf Paper[Paper][Project]
DTP Diffusion Texture PaintingSIGGRAPH 2024 Conf Paper[Paper][Project][Github]
TexPainter TexPainter: Generative Mesh Texturing With Multi-view ConsistencySIGGRAPH 2024 Conf Paper[Paper][Project][Github]
DreamMat DreamMat: High-quality PBR Material Generation With Geometry- and Light-aware Diffusion ModelsSIGGRAPH/TOG 2024[Paper][Project][Github]
EASI-Tex EASI-Tex: Edge-Aware Mesh Texturing from Single ImageSIGGRAPH/TOG 2024[Paper][Project][Github]
Coin3D Coin3D: Controllable and Interactive 3D Assets Generation With Proxy-guided ConditioningSIGGRAPH 2024 Conf Paper[Paper][Project][Github(TBA)]
ThemeStation ThemeStation: Generating Theme-Aware 3D Assets from Few ExemplarsSIGGRAPH 2024 Conf Paper[Paper][Project][Github]
DressCode DressCode: Autoregressively Sewing and Generating Garments from Text GuidanceSIGGRAPH/TOG 2024[Paper][Project][Github]
MeshNCA Mesh Neural Cellular AutomataSIGGRAPH/TOG 2024[Paper][Project][Github]
Paint3D Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion ModelsCVPR 2024[Paper][Project][Github]
TextureDreamer TextureDreamer: Image-guided Texture Synthesis through Geometry-aware DiffusionCVPR 2024[Paper][Project]
TeMO TeMO: Towards Text-Driven 3D Stylization for Multi-Object MeshesCVPR 2024[Paper][Github(TBA)]
3DPaintbrush 3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score DistillationCVPR 2024[Paper][Project][Github]
As-Plausible-As-PossibleAs-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion PriorsCVPR 2024[Paper][Project][Github]
SceneTexSceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion PriorsCVPR 2024[Paper][Project][Github]
Paint-it Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based RenderingCVPR 2024[Paper][Project][Github]
DreamSpace Dreaming Your Room Space with Text-Driven Panoramic Texture PropagationIEEE VR 2024[Paper][Project][Github]
TECA TECA: Text-Guided Generation and Editing of Compositional 3D Avatars3DV 2024[Paper][Project][Github]
StyleAvatar StyleAvatar: Stylizing Animatable Head AvatarsWACV 2024[Paper]
Text2Scene Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware DetailsCVPR 2023[Paper][Video]
TextDeformer TextDeformer: Geometry Manipulation using Text GuidanceSIGGRAPH 2023 Conf Paper[Paper][Project][Github]
TEXTure TEXTure: Text-Guided Texturing of 3D ShapesSIGGRAPH 2023 Conf Paper[Paper][Project][Github]
Creative Birds Creative Birds: Self-Supervised Single-View 3D Style TransferICCV 2023[Paper][Github]
Text2Tex Text2Tex: Text-driven Texture Synthesis via Diffusion ModelsICCV 2023[Paper][Project][Github]
TexFusion TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion ModelsICCV 2023[Paper][Project]
X-Mesh X-Mesh:Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual GuidanceICCV 2023[Paper][Project][Github]
Point-UV Diffusion Texture Generation on 3D Meshes with Point-UV DiffusionICCV 2023[Paper][Project][Github]
3DStyle-Diffusion3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion ModelsACM MM 2023[Paper][Github]
RoomDreamerRoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and TextureACM MM 2023[Paper][Video]
Decorate3D Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the WildNeurIPS 2023[Paper][Project][Github]
HyperDreamer HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single ImageSIGGRAPH Asia 2023 Conf Paper[Paper][Project][Github]
AlteredAvatar AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style AdaptationArxiv 2023[Paper][Project]
HeadSculpt HeadSculpt: Crafting 3D Head Avatars with TextNeurips 2023[Paper][Project][Github(TBA)]
StyleMesh StyleMesh: Style Transfer for Indoor 3D Scene ReconstructionsCVPR 2022[Paper][Project][Github]
Latent-NeRF Latent-NeRF for Shape-Guided Generation of 3D Shapes and TexturesCVPR 2022[Paper][Video][Github]
Text2Mesh Text2Mesh: Text-Driven Neural Stylization for MeshesCVPR 2022[Paper][Project][Github]
TANGO TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting DecompositionNeurIPS 2022[Paper][Project][Github]
CLIP-Mesh CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelsSIGGRAPH Asia 2022[Paper][Project][Github]
3DStyleNet 3DStyleNet: Creating 3D Shapes with Geometric and Texture StyleICCV 2021[Paper][Project]
DGTS Deep Geometric Texture SynthesisSIGGRAPH 2020[Paper][Project][Github]
Paparazzi Paparazzi: Surface Editing by way of Multi-View Image ProcessingSIGGRAPH Asia 2018[Paper][Project][Github]
Neural Renderer Neural 3D Mesh RendererCVPR 2018[Paper][Project][Github]

Novel View or Neural Field Stylization

Abbr.TitleVenuePaperProjectGithub
GAST Geometry-Aware Style Transfer in 3D Gaussian SplattingECCV 2026[Paper][Project][Github]
ViP3DE Fast Multi-view Consistent 3D Editing with Video PriorsAAAI 2026[Paper][Project][Github]
Styl3R Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and StylesNeurIPS 2025[Paper][Project][Github]
CLIPGaussian CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian SplattingNeurIPS 2025[Paper][Project][Github]
3DOT 3DOT: Texture Transfer for 3DGS Objects from a Single Reference ImageNeurIPS 2025[Paper][Project][Github(TBA)]
DFF-GS Diffusion Feature Field for Text-based 3D Editing with Gaussian SplattingNeurIPS 2025[Paper]
DEGauss DEGauss: Defending Against Malicious 3D Editing for Gaussian SplattingNeurIPS 2025[Paper]
DiGA3D DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D InpaintingICCV 2025[Paper][Project][Github(TBA)]
RoMaP RoMaP: Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation SamplingICCV 2025[Paper][Project][Github]
InterGSEdit InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention PriorICCV 2025[Paper]
Tune-Your-Style Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian SplattingICCV 2025[Paper][Project]
A3GS A3GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian SplattingICCV 2025[Paper]
ReStyle3D Scene-level Appearance Transfer with Semantic CorrespondencesSIGGRAPH 2025[Paper][Project][Github]
EditSplat EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian SplattingCVPR 2025[Paper][Project][Github]
PrEditor3D PrEditor3D: Fast and Precise 3D Shape EditingCVPR 2025[Paper][Project]
CTRL-D CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D DiffusionCVPR 2025[Paper][Project][Github]
Instruct-4DGS Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic SeparationCVPR 2025[Paper][Project]
Perturb-and-Revise Perturb-and-Revise: Flexible 3D Editing with Generative TrajectoriesCVPR 2025[Paper][Project][Github]
SGSST SGSST: Scaling Gaussian Splatting Style TransferCVPR 2025[Paper][Project][Github]
Morpheus Morpheus: Text-Driven 3D Gaussian Splat Shape and Color StylizationCVPR 2025[Paper][Project]
DaCapo DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D EditingCVPR 2025[Paper]
DreamCatalyst DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity PreservationICLR 2025[Paper][Project][Github]
IPDreamer IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image PromptsICLR 2025[Paper][Github]
AGAP Learning Naturally Aggregated Appearance for Efficient 3D Editing3DV 2025[Paper][Project][Github]
LumiGaussLumiGauss: Relightable Gaussian Splatting in the WildWACV 2025[Paper][Project][Github]
GSLE Localized Gaussian Splatting Editing with Contextual AwarenessWACV 2025[Paper][Project]
SyncNoise SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene EditingAAAI 2025[Paper][Project][Github]
SoundBrush SoundBrush: Sound as a Brush for Visual Scene EditingAAAI 2025[Paper][Project][Github]
Multi-StyleGS Multi-StyleGS: Stylizing Gaussian Splatting with Multiple StylesAAAI 2025[Paper][Github(TBA)]
ReGS ReGS: Reference-based Controllable Scene Stylization with Gaussian SplattingNeurIPS 2024[Paper]
WaSt-3D WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D GaussiansECCV 2024[Paper][Project]
LatentEditor LatentEditor: Text Driven Local Editing of 3D ScenesECCV 2024[Paper][Project][Github(TBA)]
MIGS MIGS: Multi-Identity Gaussian Splatting via Tensor DecompositionECCV 2024[Paper][Project]
3DEgo 3DEgo: 3D Editing on the Go!ECCV 2024[Paper][Project][Data]
VcEdit View-Consistent 3D Editing with Gaussian SplattingECCV 2024[Paper][Project]
MALD-NeRFTaming Latent Diffusion Model for Neural Radiance Field InpaintingECCV 2024[Paper][Project]
DATENeRF DATENeRF: Depth-Aware Text-based Editing of NeRFsECCV 2024[Paper][Project]
Gaussian GroupingGaussian Grouping: Segment and Edit Anything in 3D ScenesECCV 2024[Paper][Project][Github]
Watch Your StepsWatch Your Steps: Local Image and Scene Editing by Text InstructionsECCV 2024[Paper][Project]
CE3D Chat-Edit-3D: Interactive 3D Scene Editing via Text PromptsECCV 2024[Paper][Project][Github(TBA)]
GaussCtrl GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting EditingECCV 2024[Paper][Project][Github]
Free-Editor Free-Editor: Zero-shot Text-driven 3D Scene EditingECCV 2024[Paper][Project][Github(TBA)]
Freditor Freditor: High-Fidelity and Transferable NeRF Editing by Frequency DecompositionArxiv 2024[Paper][Project]
StyleGaussian StyleGaussian: Instant 3D Style Transfer with Gaussian SplattingArxiv 2024[Paper][Project][Github]
StylizedGS StylizedGS: Controllable Stylization for 3D Gaussian SplattingArxiv 2024[Paper]
3DFaceHybrid 3D Face Style Transfer with a Hybrid Solution of NeRF and Mesh RasterizationWACV 2024[Paper]
NeRFEditor NeRFEditor: Differentiable Style Decomposition for 3D Scene EditingWACV 2024[Paper][Project]
TIP-EditorTIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-PromptsSIGGRAPH/TOG 2024[Paper][Project][Github]
Portrait3D Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs PriorSIGGRAPH/TOG 2024[Paper][Project][Github]
SketchDream SketchDream: Sketch-based Text-to-3D Generation and EditingSIGGRAPH/TOG 2024[Paper][Project][Github(TBA)]
DreamFont3D DreamFont3D: Personalized Text-to-3D Artistic Font GenerationSIGGRAPH 2024 Conf Paper[Paper]
Spice-E Spice-E: Structural Priors in 3D Diffusion using Cross-Entity AttentionSIGGRAPH 2024 Conf Paper[Paper][Project][Github]
3Doodle 3Doodle: Compact Abstraction of Objects with 3D StrokesSIGGRAPH/TOG 2024[Paper]
ED-NeRF ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRFICLR 2024[Paper][Project]
FPRF FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance FieldsAAAI 2024[Paper][Project][Github]
PNeSM PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style MappingAAAI 2024[Paper]
Neural3DStrokes
(3D Strokes)
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D StrokesCVPR 2024[Paper][Project][Github]
Geo-SRF Geometry Transfer for Stylizing Radiance FieldsCVPR 2024[Paper][Project][Github(TBA)]
S-DyRF S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic ScenesCVPR 2024[Paper][Project][Github]
LAENeRF LAENeRF: Local Appearance Editing for Neural Radiance FieldsCVPR 2024[Paper][Project][Github]
PDS Posterior Distillation SamplingCVPR 2024[Paper][Project][Github]
NeRF Analogies NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFsCVPR 2024[Paper][Project]
UAV-ENeRF UAV-ENeRF: Text-driven UAV Scene Editing with Neural Radiance FieldsTGRS 2024[Paper]
SC-GSSC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic ScenesCVPR 2024[Paper][Project][Github]
CineTransfer Cinematic Behavior Transfer via NeRF-based Differentiable FilmingCVPR 2024[Paper][Project][Github]
SC4D SC4D: Sparse-Controlled Video-to-4D Generation and Motion TransferArxiv 2024[Paper][Project]
GSDeformerGSDeformer: Direct Cage-based Deformation for 3D Gaussian SplattingArxiv 2024[Paper][Project]
IReNeIReNe: Instant Recoloring of Neural Radiance FieldsCVPR 2024[Paper][Project]
Control4D Control4D: Efficient 4D Portrait Editing with TextCVPR 2024[Paper][Project]
Instruct 4D-to-4D Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D DiffusionCVPR 2024[Paper][Project]
GaussianEditor(Huawei) GaussianEditor: Editing 3D Gaussians Delicately with Text InstructionsCVPR 2024[Paper][Project]
GaussianEditor(NTU) GaussianEditor: Swift and Controllable 3D Editing with Gaussian SplattingCVPR 2024[Paper][Project][Github]
CoARF CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields3DV 2024[Paper][Project]
RePaint-NeRF RePaint-NeRF: NeRF Editing via Semantic Masks and Diffusion ModelsIJCAI 2023[Paper][Project][Github]
DreamEditor DreamEditor: Text-Driven 3D Scene Editing with Neural FieldsSIGGRAPH Asia 2023 Conf Paper[Paper][Project][Github]
AvatarStudio AvatarStudio: Text-driven Editing of 3D Dynamic Human Head AvatarsSIGGRAPH Asia 2023 Conf Paper[Paper][Project]
UPST-NeRF UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D SceneTVCG 2024[Paper][Project][Github]
ViCA-NeRF ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance FieldsNeurIPS 2023[Paper][Project][Github]
TSNeRF TSNeRF: Text-driven stylized neural radiance fields via semantic contrastive learningComputers & Graphics 2023, CCF CAD/Graphics 2023[Paper]
LocalStyleNeRF Locally Stylized Neural Radiance FieldsICCV 2023[Paper][Project][Github]
Instruct-NeRF2NeRF Instruct-NeRF2NeRF: Editing 3D Scenes with InstructionsICCV 2023[Paper][Project][Github]
Blending-NeRF Blending-NeRF: Text-Driven Localized Editing in Neural Radiance FieldsICCV 2023[Paper][Project]
Vox-E Vox-E: Text-guided Voxel Editing of 3D ObjectsICCV 2023[Paper][Project][Github]
ClimateNeRFClimateNeRF: Extreme Weather Synthesis in Neural Radiance FieldICCV 2023[Paper][Project][Github]
LipRF Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene StylizationCVPR 2023[Paper]
StyleRF StyleRF: Zero-shot 3D Style Transfer of Neural Radiance FieldsCVPR 2023[Paper][Project][Github]
Ref-NPR Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene StylizationCVPR 2023[Paper][Project][Github]
SINE Semantic-driven Image-based NeRF Editing with Prior-guided Editing FieldCVPR 2023[Paper][Project][Github]
NeRF-Art NeRF-Art: Text-Driven Neural Radiance Fields StylizationTVCG 2023[Paper][Project][Github]
InstantNeRFStyle Instant Photorealistic Neural Radiance Fields StylizationICASSP 2024[Paper]
[IEEE]
[Github]
SNeRF SNeRF: Stylized Neural Implicit Representations for 3D ScenesSIGGRAPH 2022[Paper][Project]
ArtNV Artistic Style Novel View Synthesis Based on A Single ImageCVPRW 2022, SIGGRAPH Posters 2022[Paper][Project][Github]
StylizedNeRF StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual LearningCVPR 2022[Paper][Project][Github]
3D Photo Stylization 3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single ImageCVPR 2022[Paper][Project][Github]
ARF ARF: Artistic Radiance FieldsECCV 2022[Paper][Project][Github]
INS Unified Implicit Neural StylizationECCV 2022[Paper][Project][Github]
HyperStyle Stylizing 3D Scene via Implicit Representation and HyperNetworkWACV 2022[Paper][Project][Github]
LSNV Learning to stylize novel viewsICCV 2021[Paper][Project][Github]

Multi-view / Light Field Stylization

Abbr.TitleVenuePaperProjectGithub
ReStyle3D Scene-level Appearance Transfer with Semantic CorrespondencesSIGGRAPH 2025[Paper][Project][Github]
MuVieCAST MuVieCAST: Multi-View Consistent Artistic Style Transfer3DV 2024[Paper][Project][Github]
LFST Style Transfer for Light Field PhotographyWACV 2020[Paper][Github]
NSIST Neural Stereoscopic Image Style TransferECCV 2018[Paper]
StereoNST Stereoscopic Neural Style TransferCVPR 2018[Paper][Video]

Point Cloud Stylization

Abbr.TitleVenuePaperProjectGithub
PointInverterPointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape PriorsWACV 2023[Paper][Project]
PSNet PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and ColorWACV 2020[Paper][Video][Github]

Volumetric Stylization

Abbr.TitleVenuePaperProjectGithub
StyleRF-VolVis StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume VisualizationIEEE VIS 2024[Paper]
ShaDDR ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable RenderingSIGGRAPH Asia 2023 Conf Paper[Paper][Project][Github]
ENST Efficient Neural Style Transfer For Volumetric SimulationsSIGGRAPH Asia 2022[Paper][Project]
SKPN Volumetric appearance stylization with stylizing kernel prediction networkSIGGRAPH 2021[Paper][Video]
LNST Lagrangian Neural Style Transfer for FluidsSIGGRAPH 2020[Paper][Video][Github]
TNST Transport-Based Neural Style Transfer for Smoke SimulationsSIGGRAPH Asia 2019[Paper][Video][Github]

Implicit Shape Stylization

Abbr.TitleVenuePaperProjectGithub
StructReStructRe: Rewriting for Structured Shape ModelingTOG 2025[Paper][Project]
NeuSDFusionNeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and GenerationECCV 2024[Paper][Project]
CNS-EditCNS-Edit: 3D Shape Editing via Coupled Neural Shape OptimizationSIGGRAPH 2024[Paper]
EXIM EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape GenerationSIGGRAPH Asia/TOG 2023[Paper][Project][Github]
SALAD SALAD: Part-Level Latent Diffusion for 3D Shape Generation and ManipulationICCV 2023[Paper][Project][Github]
Neural WaveletNeural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and ManipulationSIGGRAPH Asia 2022 Conf Paper, TOG 2024[Paper][Github]
SPAGHETTISPAGHETTI: Editing Implicit Shapes Through Part Aware GenerationSIGGRAPH/TOG 2022[Paper][Project][Github]
Image guidance: Text guidance: 3D guidance:
Abbr.TitleVenuePaperProjectGithub
DiffSplat DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat GenerationICLR 2025[Paper][Project][Github]
Meta 3D AssetGen Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR MaterialsNeurIPS 2024[Paper][Project]
WordRobe WordRobe: Text-Guided Generation of Textured 3D GarmentsECCV 2024[Paper][Project]
CRM CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction ModelECCV 2024[Paper][Github]
HiFi-123 HiFi-123: Towards High-fidelity One Image to 3D Content GenerationECCV 2024[Paper][Project][Github]
UniDream UniDream: Unifying Diffusion Priors for Relightable Text-to-3D GenerationECCV 2024[Paper][Project][Github(TBA)]
GVGEN GVGEN: Text-to-3D Generation with Volumetric RepresentationECCV 2024[Paper][Project][Github]
DreamView DreamView: Injecting View-specific Text Guidance into Text-to-3D GenerationECCV 2024[Paper][Github]
ScaleDreamer ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score DistillationECCV 2024[Paper][Project][Github]
RodinHD RodinHD: High-Fidelity 3D Avatar Generation with Diffusion ModelsECCV 2024[Paper][Project][Github(TBA)]
BlockFusionBlockFusion: Expandable 3D Scene Generation using Latent Tri-plane ExtrapolationSIGGRAPH/TOG 2024[Paper][Project][Github(TBA)]
MVD2 MVD2: Efficient Multiview 3D Reconstruction for Multiview DiffusionSIGGRAPH 2024 Conf Paper[Paper]
HiFA HiFA: High-fidelity Text-to-3D with Advanced Diffusion GuidanceICLR 2024[Paper][Project][Github]
DreamCraft3D DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion PriorICLR 2024[Paper][Project][Github]
DreamGaussian DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content CreationICLR 2024[Paper][Project][Github]
Progressive3D Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic PromptsICLR 2024[Paper][Project][Github]
SyncDreamer SyncDreamer: Generating Multiview-consistent Images from a Single-view ImageICLR 2024[Paper][Project][Github]
GaussianDreamer GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion ModelsCVPR 2024[Paper][Project][Github]
GSGEN GSGEN: Text-to-3D using Gaussian SplattingCVPR 2024[Paper][Github]
LucidDreamer LucidDreamer: Domain-free Generation of 3D Gaussian Splatting ScenesCVPR 2024[Paper][Project][Github]
DreamFusion DreamFusion: Text-to-3D using 2D DiffusionICLR 2023[Paper][Project][Github]
(unofficial)
SJC Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D GenerationCVPR 2023[Paper][Project][Github]
Magic3D Magic3D: High-Resolution Text-to-3D Content CreationCVPR 2023[Paper][Project]
Fantasia3D Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content CreationICCV 2023[Paper][Project][Github]
Zero-1-to-3 Zero-1-to-3: Zero-shot One Image to 3D ObjectICCV 2023[Paper][Project][Github]
ProlificDreamer ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationNeurIPS 2023[Paper][Project][Github]
3D VADER Autodecoding Latent 3D Diffusion ModelsNeurIPS 2023[Paper][Project][Github]
CLIP-Mesh CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelsSIGGRAPH Asia 2022 Conf Paper[Paper][Project][Github]

Other 3D Stylization

Image guidance: Text guidance: 3D guidance:
Abbr.TitleVenuePaperProjectGithub
Texture-GSTexture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting EditingECCV 2024[Paper][Project][Github]
SMooDi SMooDi: Stylized Motion Diffusion ModelECCV 2024[Paper][Project][Github]
SRFoEStylized Rendering as a Function of ExpectationSIGGRAPH/TOG 2024[Paper]
LayGA LayGA: Layered Gaussian Avatars for Animatable Clothing TransferSIGGRAPH 2024 Conf Paper[Paper][Project]
Stealth ShaperStealth Shaper: Reflectivity Optimization as Surface StylizationSIGGRAPH 2023 Conf Paper[Paper][Project][Github]
Stroke Transfer Stroke Transfer: Example-based Synthesis of Animatable Stroke StylesSIGGRAPH 2022 Conf Paper[Paper][Project][Github]
Normal-Driven Normal‐Driven Spherical Shape AnalogiesComputer Graphics Forum, SGP 2021[Paper][Video][Github1]
[Github2]
PBFLRPhysically-based Feature Line RenderingSIGGRAPH Asia/TOG 2021[Paper][Project]
StyleProp StyleProp: Real‐time Example‐based Stylization of 3D ModelsComputer Graphics Forum, PG 2020[Paper][Project]
StyleBlit StyleBlit: Fast Example‐Based Stylization with Local GuidanceComputer Graphics Forum, EG 2019[Paper][Project][Github]
[Unity Plugin]
Cubic Stylization Cubic StylizationSIGGRAPH Asia 2019[Paper][Project][Github1]
[Github2]
StyleLit StyLit: Illumination-Guided Example-Based Stylization of 3D RenderingsSIGGRAPH 2016[Paper][Project][Demo]

Mesh Stylization

Neural 3D Mesh Renderer
Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada
CVPR 2018. [Paper][Project] [Github]
Features:

  • approximate gradient for rasterization
  • single-image 3d mesh reconstruction with 2d supervision
  • gradient-based 3d mesh editing including 2d->3d style transfer(image->mesh)

Paparazzi: Surface Editing by way of Multi-View Image Processing
Hsueh-Ti Derek Liu, Michael Tao, Alec Jacobson
SIGGRAPH Asia 2018. [Paper] [Project] [Github]
Features:

  • image-guided mesh surface stylization
  • vertex position optimization
  • sample training cameras on the offset surface

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style
Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler
ICCV 2021. [Paper] [Project]
Features:

  • 3D shape and texture style tranfer
  • 3D textured model as guidance
  • Large 3D data driven

StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions
Lukas Höllein, Justin Johnson, Matthias Nießner
CVPR 2022. [Paper] [Project] [Github]
Features:

  • 3D consistent texture optimization
  • depth-aware and angle-aware optimization for equally-sized and unstreched stylization patterns

Text2Mesh: Text-Driven Neural Stylization for Meshes
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
CVPR 2022.[Paper] [Project] [Github]
Features:

  • based on CLIP[Github]
  • handle low quality meshes

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
Neurips 2022. [Paper] [Project] [Github]

Creative Birds: Self-Supervised Single-View 3D Style Transfer
Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang
ICCV 2023. [Paper] [Github]

Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details
Inwoo Hwang, Hyeonwoo Kim, Young Min Kim
CVPR 2023. [Paper] [Video] [Github]

TextDeformer: Geometry Manipulation using Text Guidance
William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka
SIGGRAPH Conference Proceedings 2023. [Paper] [Project] [Github]

TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
SIGGRAPH Conference Proceedings 2023. [Paper] [Project] [Github]

Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
ICCV 2023. [Paper] [Project] [Github]

X-Mesh:Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance
Yiwei Ma, Xiaioqing Zhang, Xiaoshuai Sun, Jiayi Ji, Haowei Wang, Guannan Jiang, Weilin Zhuang, Rongrong Ji
ICCV 2023. [Paper] [Project] [Github]

Volumetric Stylization

Transport-Based Neural Style Transfer for Smoke Simulations
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler
SIGGRAPH Asia 2019.| [Paper] [Video] [Github]
Features:

  • dynamic smoke
  • optimization-based stylization

Lagrangian Neural Style Transfer for Fluids
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler
SIGGRAPH 2020. [Paper] [Video] [Github]
Features:

  • fluid
  • optimization-based stylization

Volumetric appearance stylization with stylizing kernel prediction network
Jie Guo, Mengtian Li, Zijing Zong, Yuntao Liu, Jingwu He, Yanwen Guo, Ling-Qi Yan
SIGGRAPH 2021. [Paper)] [Video]|
Features:

  • dynamic or static model
  • arbitrary style transfer

Efficient Neural Style Transfer For Volumetric Simulations
Joshua Aurand, Raphaël Oritz, Sylvia Nauer, Vinicius Azevedo
ACM SIGGRAPH Asia, 2022. [Paper][Video]
Features:

  • mainly for smoke
  • view-independent stylization
  • feed-forward network for acceleration

Point Cloud Stylization

PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color
Xu Cao, Weimin Wang, Katashi Nagao, Ryosuke Nakamura
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020
[Paper] [Github] [Video] Features:

  • explicit point cloud stylization
  • geometric and color stylization

Neural Field Stylization

General Neural Rendering

Learning to stylize novel views
Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang.
ICCV 2021. [Paper] [Project] [Github]
Features:

  • Point-cloud based feature
  • Style feature transformation
  • Require MVS reconstruction, depth rendering
  • zero-shot novel view stylization

3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li
CVPR 2022. [Paper] [Project] [Github]
Features:

  • pre-trained NeRF with color prediction module replaced with a style network
  • mutual learning for two parts mentioned above

Artistic Style Novel View Synthesis Based on A Single Image
Kuan-Wei Tseng, Yao-Chih Lee, Chu-Song Chen
CVPR Workshop 2022 / SIGGRAPH Poster 2022.[Paper] [Project] [Github]
Features:

  • based on Synsin(differentiable point cloud renderer)[Paper]
  • occlusion aware dense matching
  • mainly for VR

Radiance Field Based Rendering

Stylizing 3D Scene via Implicit Representation and HyperNetwork
Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-sheng Lai, Wei-Chen Chiu.
WACV 2022. [Paper] [Project] [Github]
Features:

  • hypernetwork to control NeRF weights
  • two-step training and patch-subsampling
  • zero-shot novel view stylization

StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning
Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao
CVPR 2022. [Paper] [Project] [Github]
Features:

  • pre-trained NeRF with color prediction module replaced with a style network
  • mutual learning for two parts mentioned above
  • zero-shot novel view stylization

ARF: Artistic Radiance Fields
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
ECCV 2022. [Paper] [Project] [Github]
Features:

  • pre-trained NeRF with color prediction module replaced with a style network
  • mutual learning for two parts mentioned above

Unified Implicit Neural Stylization
Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
ECCV 2022. [Paper] [Project] [Github]
Features:

  • continuous in the style space(allow interpolation between styles)

Instant Neural Radiance Fields Stylization
Shaoxu Li, Ye Pan
[Paper] [Github]
Features:

  • training for novel view stylization image synthesis only costs 10 minutes.
  • extend the style target of NeRF stylization from images to 3D scene image sets

SNeRF: Stylized Neural Implicit Representations for 3D Scenes
Thu Nguyen-Phuoc, Feng Liu, Lei Xiao
SIGGRAPH 2022.[Paper]
Features:

  • applies to indoor scenes, outdoor scenes and 4D dynamic avatars
  • reduce GPU memory requirement

Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization
Zicheng Zhang, Yinglu Liu, Congying Han, Yingwei Pan, Tiande Guo, Ting Yao
CVPR 2023. [Paper]
Features:

  • photo-realistic
  • based on Lipschitz transformation and condition

StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
Kunhao Liu, Fangneng Zhan, Yiwen Chen, Jiahui Zhang, Yingchen Yu, Abdulmotaleb El Saddik, Shijian Lu, Eric Xing
CVPR 2023. [Paper] [Project] [Github]
Features:

  • zero-shot 3d stylization
  • sampling-invariant content transformation
  • deferring style transformation to 2D feature maps
  • zero-shot novel view stylization

Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
Yuechen Zhang, Zexin He, Jinbo Xing, Xufeng Yao, Jiaya Jia
CVPR 2023. [Paper] [Project] [Github]
Features:

  • reference based ray registration process and a template-based feature matching scheme to achieve geometrically and perceptually consistent stylization

Locally Stylized Neural Radiance Fields
Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung
ICCV 2023. [Paper] [Project] [Github]
Features:

  • explicitly semantic match stylization
  • based on instant-NGP
  • room stylization

Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
Chong Bao, Yinda Zhang, Bangbang Yang, Tianxing Fan, Zesong Yang, Hujun Bao, Guofeng Zhang, Zhaopeng Cui
CVPR 2023. [Paper] [Project] [Github]
Features:

  • edit a photo-realistic NeRF with a single-view image or with text prompts
  • cyclic constraints with a proxy mesh for geometric editing
  • the color compositing mechanism to enhance texture editing
  • feature-cluster-based regularization to control the affected editing area and maintain irrelevant parts unchanged

NeRF-Art: Text-Driven Neural Radiance Fields Stylization
Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
TVCG 2023. [Paper] [Project] [Github]
Features:

  • combine CLIP[Github] with NeRF
  • cover global structures and local details
  • adopt a weight regularization to effectively reduce cloudy artifacts and geometry noises

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
ICCV 2023. [Paper] [Project] [Github]
Features:

  • extract shape and appearance priors from a 2D diffusion model
  • edit input images and change 3d implicit field representation

Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
ICCV 2023. [Paper] [Project]
Features:

  • text-guided local editing
3d-stylization
neural-style-transfer
stylization

Contributors

chenyingshu

111 commits

DukeofCambridge

31 commits

Zhu-Liyuan

2 commits

wangpeng000

1 commits

chenyingshu/advances_3d_neural_stylization

Awesome 3D Stylization - Advances in 3D Neural Stylization

Python

150

148 commits

updated Sep 1, 2026

See the code

README

Advances in 3D Neural Stylization

A review of 3D neural stylization papers, mainly neural stylization on 3D data with vision, text, or 3D/4D style reference.

Definition. 3D neural stylization refers to the process that employs deep learning techniques and stylization algorithms to generate stylized 3D digital assets or the stylized rendering from these assets, including the alteration of appearance and/or geometry.

Other variants are also welcomed, e.g., with other/no reference, 3D-aware neural stylization, non-neural 3D stylization.

Contributing

If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request

Feedback and contributions are welcome!

markdown format:

**Here is the Paper Name.**<br>
*[Author 1](homepage), Author 2, and Author 3.*<br>
Conference or Journal Year. <br>
[[Paper](link)] [[Project](link)] [[Github](link)] [[Video](link)] [[Data](link)] <br>
_Features_:
- highlight feature 1
- highlight feature 2

Surveys

Advances in 3D Neural Stylization: A Survey
Yingshu Chen, Guocheng Shao, Ka Chun Shum, Binh-Son Hua, Sai-Kit Yeung. IJCV 2025.

Citation

😊 If you find this work useful, please cite our paper:

@article{chen2025advances,
  title={Advances in 3D neural stylization: a survey},
  author={Chen, Yingshu and Shao, Guocheng and Shum, Ka Chun and Hua, Binh-Son and Yeung, Sai-Kit},
  journal={International Journal of Computer Vision},
  pages={1--36},
  year={2025},
  publisher={Springer}
}

Acknowledgement

The paper was partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. HKUST 16202323) and an internal grant from HKUST (R9429).
Binh-Son Hua is supported by Research Ireland under the Research Ireland Frontiers for the Future Programme - Project, award number 22/FFP-P/11522.

Advances in Neural 3D Mesh Texturing: A Survey [Paper] [Project]
Sai Raj Kishore Perla, Hao (Richard) Zhang, Ali Mahdavi-Amiri. Eurographics STAR (CGF), 2026.

Neural Style Transfer: A Review [Paper] [Project]
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song. TVCG, 2019.

Multimodal Image Synthesis and Editing: The Generative AI Era [Paper] [Project]
Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric Xing. TPAMI, 2023.

Diffusion Models in Vision: A Survey [Paper] [Project]
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah. TPAMI, 2023.

Diffusion Models: A Comprehensive Survey of Methods and Applications [Paper][Project]
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang. ACM Computing Surveys 2023.

State of the Art on Diffusion Models for Visual Computing [Paper] [Project]
Ryan Po, Yifan Wang, Vladislav Golyanik, Kfir Aberman, Jon T. Barron, Amit Bermano, Eric Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Niessner, Björn Ommer, Christian Theobalt, Peter Wonka, and Gordon Wetzstein. State of the Art Report at EUROGRAPHICS 2024.

State of the Art on Neural Rendering [Paper]
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B Goldman, Michael Zollhöfer. State of the Art Report at EUROGRAPHICS 2020.
Neural Rendering [Project] CVPR 2020 Tutorial.
Advances in Neural Rendering [Paper] [Project] SIGGRAPH 2021 Courses.

Advances in Neural Rendering [Paper]
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Niessner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhoefer, Vladislav Golyanik. State of the Art Report at EUROGRAPHICS 2022.

Neural Fields in Visual Computing and Beyond [Paper] [Project]
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar. State of the Art Report at EUROGRAPHICS 2022.
Neural Fields for Visual Computing [Paper] [Project]
Towaki Takikawa, Shunsuke Saito, James Tompkin, Vincent Sitzmann, Srinath Sridhar, Or Litany, Alex Yu. SIGGRAPH 2023 Courses.

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era [Paper]
Chenghao Li, Chaoning Zhang, Atish Waghwase, Lik-Hang Lee, Francois Rameau, Yang Yang, Sung-Ho Bae, Choong Seon Hong

Text-to-3D Shape Generation [Paper] [Project]
Han-Hung Lee, Manolis Savva, and Angel Xuan Chang. State of the Art Report at EUROGRAPHICS 2024.

3D Gaussian Splatting as New Era: A Survey [Paper]
Ben Fei, Jingyi Xu, Rui Zhang, Qingyuan Zhou, Weidong Yang, Ying He. TVCG 2024.

Table of Contents

Overview of 3D Neural Stylization

Image/Video style guidance: Text style guidance: Sound style guidance: 3D/4D style guidance:

Mesh Stylization

Abbr.TitleVenuePaperProjectGithub
CMD CMD: Controllable Multiview Diffusion for 3D Editing and Progressive GenerationSIGGRAPH 2025[Paper][Project][Github(TBA)]
3D Stylization LRM 3D Stylization via Large Reconstruction ModelSIGGRAPH 2025[Paper][Project][Github]
Geometry in Style Geometry in Style: 3D Stylization via Surface Normal DeformationCVPR 2025[Paper][Project][Github]
MeshUp MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation3DV 2025(Honorable Mention)[Paper][Project][Github]
FlashTex FlashTex: Fast Relightable Mesh Texturing with LightControlNetECCV 2024(Oral)[Paper][Project][Github]
TexGen TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and ResamplingECCV 2024[Paper][Project]
TexDreamer TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture GenerationECCV 2024[Paper][Project][Github]
Scene-Conditional 3D Scene-Conditional 3D Object Stylization and CompositionECCV 2024[Paper][Project]
VCD-Texture VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided TexturingECCV 2024[Paper]
MMDMC Towards High-Quality 3D Motion Transfer with Realistic Apparel AnimationECCV 2024[Paper][Data]
StyleCity StyleCity: Large-Scale 3D Urban Scenes StylizationECCV 2024[Paper][Project][Github(TBA)]
Img2LEGO Creating LEGO Figurines From Single ImagesSIGGRAPH 2024[Paper]
CNSTDM Controllable Neural Style Transfer for Dynamic MeshesSIGGRAPH 2024[Paper]
HeadArtist HeadArtist: Text-conditioned 3D Head Generation with Self Score DistillationSIGGRAPH 2024[Paper][Project][Github]
MaPa MaPa: Text-driven Photorealistic Material Painting for 3D ShapesSIGGRAPH 2024 Conf Paper[Paper][Project]
DTP Diffusion Texture PaintingSIGGRAPH 2024 Conf Paper[Paper][Project][Github]
TexPainter TexPainter: Generative Mesh Texturing With Multi-view ConsistencySIGGRAPH 2024 Conf Paper[Paper][Project][Github]
DreamMat DreamMat: High-quality PBR Material Generation With Geometry- and Light-aware Diffusion ModelsSIGGRAPH/TOG 2024[Paper][Project][Github]
EASI-Tex EASI-Tex: Edge-Aware Mesh Texturing from Single ImageSIGGRAPH/TOG 2024[Paper][Project][Github]
Coin3D Coin3D: Controllable and Interactive 3D Assets Generation With Proxy-guided ConditioningSIGGRAPH 2024 Conf Paper[Paper][Project][Github(TBA)]
ThemeStation ThemeStation: Generating Theme-Aware 3D Assets from Few ExemplarsSIGGRAPH 2024 Conf Paper[Paper][Project][Github]
DressCode DressCode: Autoregressively Sewing and Generating Garments from Text GuidanceSIGGRAPH/TOG 2024[Paper][Project][Github]
MeshNCA Mesh Neural Cellular AutomataSIGGRAPH/TOG 2024[Paper][Project][Github]
Paint3D Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion ModelsCVPR 2024[Paper][Project][Github]
TextureDreamer TextureDreamer: Image-guided Texture Synthesis through Geometry-aware DiffusionCVPR 2024[Paper][Project]
TeMO TeMO: Towards Text-Driven 3D Stylization for Multi-Object MeshesCVPR 2024[Paper][Github(TBA)]
3DPaintbrush 3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score DistillationCVPR 2024[Paper][Project][Github]
As-Plausible-As-PossibleAs-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion PriorsCVPR 2024[Paper][Project][Github]
SceneTexSceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion PriorsCVPR 2024[Paper][Project][Github]
Paint-it Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based RenderingCVPR 2024[Paper][Project][Github]
DreamSpace Dreaming Your Room Space with Text-Driven Panoramic Texture PropagationIEEE VR 2024[Paper][Project][Github]
TECA TECA: Text-Guided Generation and Editing of Compositional 3D Avatars3DV 2024[Paper][Project][Github]
StyleAvatar StyleAvatar: Stylizing Animatable Head AvatarsWACV 2024[Paper]
Text2Scene Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware DetailsCVPR 2023[Paper][Video]
TextDeformer TextDeformer: Geometry Manipulation using Text GuidanceSIGGRAPH 2023 Conf Paper[Paper][Project][Github]
TEXTure TEXTure: Text-Guided Texturing of 3D ShapesSIGGRAPH 2023 Conf Paper[Paper][Project][Github]
Creative Birds Creative Birds: Self-Supervised Single-View 3D Style TransferICCV 2023[Paper][Github]
Text2Tex Text2Tex: Text-driven Texture Synthesis via Diffusion ModelsICCV 2023[Paper][Project][Github]
TexFusion TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion ModelsICCV 2023[Paper][Project]
X-Mesh X-Mesh:Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual GuidanceICCV 2023[Paper][Project][Github]
Point-UV Diffusion Texture Generation on 3D Meshes with Point-UV DiffusionICCV 2023[Paper][Project][Github]
3DStyle-Diffusion3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion ModelsACM MM 2023[Paper][Github]
RoomDreamerRoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and TextureACM MM 2023[Paper][Video]
Decorate3D Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the WildNeurIPS 2023[Paper][Project][Github]
HyperDreamer HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single ImageSIGGRAPH Asia 2023 Conf Paper[Paper][Project][Github]
AlteredAvatar AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style AdaptationArxiv 2023[Paper][Project]
HeadSculpt HeadSculpt: Crafting 3D Head Avatars with TextNeurips 2023[Paper][Project][Github(TBA)]
StyleMesh StyleMesh: Style Transfer for Indoor 3D Scene ReconstructionsCVPR 2022[Paper][Project][Github]
Latent-NeRF Latent-NeRF for Shape-Guided Generation of 3D Shapes and TexturesCVPR 2022[Paper][Video][Github]
Text2Mesh Text2Mesh: Text-Driven Neural Stylization for MeshesCVPR 2022[Paper][Project][Github]
TANGO TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting DecompositionNeurIPS 2022[Paper][Project][Github]
CLIP-Mesh CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelsSIGGRAPH Asia 2022[Paper][Project][Github]
3DStyleNet 3DStyleNet: Creating 3D Shapes with Geometric and Texture StyleICCV 2021[Paper][Project]
DGTS Deep Geometric Texture SynthesisSIGGRAPH 2020[Paper][Project][Github]
Paparazzi Paparazzi: Surface Editing by way of Multi-View Image ProcessingSIGGRAPH Asia 2018[Paper][Project][Github]
Neural Renderer Neural 3D Mesh RendererCVPR 2018[Paper][Project][Github]

Novel View or Neural Field Stylization

Abbr.TitleVenuePaperProjectGithub
GAST Geometry-Aware Style Transfer in 3D Gaussian SplattingECCV 2026[Paper][Project][Github]
ViP3DE Fast Multi-view Consistent 3D Editing with Video PriorsAAAI 2026[Paper][Project][Github]
Styl3R Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and StylesNeurIPS 2025[Paper][Project][Github]
CLIPGaussian CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian SplattingNeurIPS 2025[Paper][Project][Github]
3DOT 3DOT: Texture Transfer for 3DGS Objects from a Single Reference ImageNeurIPS 2025[Paper][Project][Github(TBA)]
DFF-GS Diffusion Feature Field for Text-based 3D Editing with Gaussian SplattingNeurIPS 2025[Paper]
DEGauss DEGauss: Defending Against Malicious 3D Editing for Gaussian SplattingNeurIPS 2025[Paper]
DiGA3D DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D InpaintingICCV 2025[Paper][Project][Github(TBA)]
RoMaP RoMaP: Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation SamplingICCV 2025[Paper][Project][Github]
InterGSEdit InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention PriorICCV 2025[Paper]
Tune-Your-Style Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian SplattingICCV 2025[Paper][Project]
A3GS A3GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian SplattingICCV 2025[Paper]
ReStyle3D Scene-level Appearance Transfer with Semantic CorrespondencesSIGGRAPH 2025[Paper][Project][Github]
EditSplat EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian SplattingCVPR 2025[Paper][Project][Github]
PrEditor3D PrEditor3D: Fast and Precise 3D Shape EditingCVPR 2025[Paper][Project]
CTRL-D CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D DiffusionCVPR 2025[Paper][Project][Github]
Instruct-4DGS Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic SeparationCVPR 2025[Paper][Project]
Perturb-and-Revise Perturb-and-Revise: Flexible 3D Editing with Generative TrajectoriesCVPR 2025[Paper][Project][Github]
SGSST SGSST: Scaling Gaussian Splatting Style TransferCVPR 2025[Paper][Project][Github]
Morpheus Morpheus: Text-Driven 3D Gaussian Splat Shape and Color StylizationCVPR 2025[Paper][Project]
DaCapo DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D EditingCVPR 2025[Paper]
DreamCatalyst DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity PreservationICLR 2025[Paper][Project][Github]
IPDreamer IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image PromptsICLR 2025[Paper][Github]
AGAP Learning Naturally Aggregated Appearance for Efficient 3D Editing3DV 2025[Paper][Project][Github]
LumiGaussLumiGauss: Relightable Gaussian Splatting in the WildWACV 2025[Paper][Project][Github]
GSLE Localized Gaussian Splatting Editing with Contextual AwarenessWACV 2025[Paper][Project]
SyncNoise SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene EditingAAAI 2025[Paper][Project][Github]
SoundBrush SoundBrush: Sound as a Brush for Visual Scene EditingAAAI 2025[Paper][Project][Github]
Multi-StyleGS Multi-StyleGS: Stylizing Gaussian Splatting with Multiple StylesAAAI 2025[Paper][Github(TBA)]
ReGS ReGS: Reference-based Controllable Scene Stylization with Gaussian SplattingNeurIPS 2024[Paper]
WaSt-3D WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D GaussiansECCV 2024[Paper][Project]
LatentEditor LatentEditor: Text Driven Local Editing of 3D ScenesECCV 2024[Paper][Project][Github(TBA)]
MIGS MIGS: Multi-Identity Gaussian Splatting via Tensor DecompositionECCV 2024[Paper][Project]
3DEgo 3DEgo: 3D Editing on the Go!ECCV 2024[Paper][Project][Data]
VcEdit View-Consistent 3D Editing with Gaussian SplattingECCV 2024[Paper][Project]
MALD-NeRFTaming Latent Diffusion Model for Neural Radiance Field InpaintingECCV 2024[Paper][Project]
DATENeRF DATENeRF: Depth-Aware Text-based Editing of NeRFsECCV 2024[Paper][Project]
Gaussian GroupingGaussian Grouping: Segment and Edit Anything in 3D ScenesECCV 2024[Paper][Project][Github]
Watch Your StepsWatch Your Steps: Local Image and Scene Editing by Text InstructionsECCV 2024[Paper][Project]
CE3D Chat-Edit-3D: Interactive 3D Scene Editing via Text PromptsECCV 2024[Paper][Project][Github(TBA)]
GaussCtrl GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting EditingECCV 2024[Paper][Project][Github]
Free-Editor Free-Editor: Zero-shot Text-driven 3D Scene EditingECCV 2024[Paper][Project][Github(TBA)]
Freditor Freditor: High-Fidelity and Transferable NeRF Editing by Frequency DecompositionArxiv 2024[Paper][Project]
StyleGaussian StyleGaussian: Instant 3D Style Transfer with Gaussian SplattingArxiv 2024[Paper][Project][Github]
StylizedGS StylizedGS: Controllable Stylization for 3D Gaussian SplattingArxiv 2024[Paper]
3DFaceHybrid 3D Face Style Transfer with a Hybrid Solution of NeRF and Mesh RasterizationWACV 2024[Paper]
NeRFEditor NeRFEditor: Differentiable Style Decomposition for 3D Scene EditingWACV 2024[Paper][Project]
TIP-EditorTIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-PromptsSIGGRAPH/TOG 2024[Paper][Project][Github]
Portrait3D Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs PriorSIGGRAPH/TOG 2024[Paper][Project][Github]
SketchDream SketchDream: Sketch-based Text-to-3D Generation and EditingSIGGRAPH/TOG 2024[Paper][Project][Github(TBA)]
DreamFont3D DreamFont3D: Personalized Text-to-3D Artistic Font GenerationSIGGRAPH 2024 Conf Paper[Paper]
Spice-E Spice-E: Structural Priors in 3D Diffusion using Cross-Entity AttentionSIGGRAPH 2024 Conf Paper[Paper][Project][Github]
3Doodle 3Doodle: Compact Abstraction of Objects with 3D StrokesSIGGRAPH/TOG 2024[Paper]
ED-NeRF ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRFICLR 2024[Paper][Project]
FPRF FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance FieldsAAAI 2024[Paper][Project][Github]
PNeSM PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style MappingAAAI 2024[Paper]
Neural3DStrokes
(3D Strokes)
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D StrokesCVPR 2024[Paper][Project][Github]
Geo-SRF Geometry Transfer for Stylizing Radiance FieldsCVPR 2024[Paper][Project][Github(TBA)]
S-DyRF S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic ScenesCVPR 2024[Paper][Project][Github]
LAENeRF LAENeRF: Local Appearance Editing for Neural Radiance FieldsCVPR 2024[Paper][Project][Github]
PDS Posterior Distillation SamplingCVPR 2024[Paper][Project][Github]
NeRF Analogies NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFsCVPR 2024[Paper][Project]
UAV-ENeRF UAV-ENeRF: Text-driven UAV Scene Editing with Neural Radiance FieldsTGRS 2024[Paper]
SC-GSSC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic ScenesCVPR 2024[Paper][Project][Github]
CineTransfer Cinematic Behavior Transfer via NeRF-based Differentiable FilmingCVPR 2024[Paper][Project][Github]
SC4D SC4D: Sparse-Controlled Video-to-4D Generation and Motion TransferArxiv 2024[Paper][Project]
GSDeformerGSDeformer: Direct Cage-based Deformation for 3D Gaussian SplattingArxiv 2024[Paper][Project]
IReNeIReNe: Instant Recoloring of Neural Radiance FieldsCVPR 2024[Paper][Project]
Control4D Control4D: Efficient 4D Portrait Editing with TextCVPR 2024[Paper][Project]
Instruct 4D-to-4D Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D DiffusionCVPR 2024[Paper][Project]
GaussianEditor(Huawei) GaussianEditor: Editing 3D Gaussians Delicately with Text InstructionsCVPR 2024[Paper][Project]
GaussianEditor(NTU) GaussianEditor: Swift and Controllable 3D Editing with Gaussian SplattingCVPR 2024[Paper][Project][Github]
CoARF CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields3DV 2024[Paper][Project]
RePaint-NeRF RePaint-NeRF: NeRF Editing via Semantic Masks and Diffusion ModelsIJCAI 2023[Paper][Project][Github]
DreamEditor DreamEditor: Text-Driven 3D Scene Editing with Neural FieldsSIGGRAPH Asia 2023 Conf Paper[Paper][Project][Github]
AvatarStudio AvatarStudio: Text-driven Editing of 3D Dynamic Human Head AvatarsSIGGRAPH Asia 2023 Conf Paper[Paper][Project]
UPST-NeRF UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D SceneTVCG 2024[Paper][Project][Github]
ViCA-NeRF ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance FieldsNeurIPS 2023[Paper][Project][Github]
TSNeRF TSNeRF: Text-driven stylized neural radiance fields via semantic contrastive learningComputers & Graphics 2023, CCF CAD/Graphics 2023[Paper]
LocalStyleNeRF Locally Stylized Neural Radiance FieldsICCV 2023[Paper][Project][Github]
Instruct-NeRF2NeRF Instruct-NeRF2NeRF: Editing 3D Scenes with InstructionsICCV 2023[Paper][Project][Github]
Blending-NeRF Blending-NeRF: Text-Driven Localized Editing in Neural Radiance FieldsICCV 2023[Paper][Project]
Vox-E Vox-E: Text-guided Voxel Editing of 3D ObjectsICCV 2023[Paper][Project][Github]
ClimateNeRFClimateNeRF: Extreme Weather Synthesis in Neural Radiance FieldICCV 2023[Paper][Project][Github]
LipRF Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene StylizationCVPR 2023[Paper]
StyleRF StyleRF: Zero-shot 3D Style Transfer of Neural Radiance FieldsCVPR 2023[Paper][Project][Github]
Ref-NPR Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene StylizationCVPR 2023[Paper][Project][Github]
SINE Semantic-driven Image-based NeRF Editing with Prior-guided Editing FieldCVPR 2023[Paper][Project][Github]
NeRF-Art NeRF-Art: Text-Driven Neural Radiance Fields StylizationTVCG 2023[Paper][Project][Github]
InstantNeRFStyle Instant Photorealistic Neural Radiance Fields StylizationICASSP 2024[Paper]
[IEEE]
[Github]
SNeRF SNeRF: Stylized Neural Implicit Representations for 3D ScenesSIGGRAPH 2022[Paper][Project]
ArtNV Artistic Style Novel View Synthesis Based on A Single ImageCVPRW 2022, SIGGRAPH Posters 2022[Paper][Project][Github]
StylizedNeRF StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual LearningCVPR 2022[Paper][Project][Github]
3D Photo Stylization 3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single ImageCVPR 2022[Paper][Project][Github]
ARF ARF: Artistic Radiance FieldsECCV 2022[Paper][Project][Github]
INS Unified Implicit Neural StylizationECCV 2022[Paper][Project][Github]
HyperStyle Stylizing 3D Scene via Implicit Representation and HyperNetworkWACV 2022[Paper][Project][Github]
LSNV Learning to stylize novel viewsICCV 2021[Paper][Project][Github]

Multi-view / Light Field Stylization

Abbr.TitleVenuePaperProjectGithub
ReStyle3D Scene-level Appearance Transfer with Semantic CorrespondencesSIGGRAPH 2025[Paper][Project][Github]
MuVieCAST MuVieCAST: Multi-View Consistent Artistic Style Transfer3DV 2024[Paper][Project][Github]
LFST Style Transfer for Light Field PhotographyWACV 2020[Paper][Github]
NSIST Neural Stereoscopic Image Style TransferECCV 2018[Paper]
StereoNST Stereoscopic Neural Style TransferCVPR 2018[Paper][Video]

Point Cloud Stylization

Abbr.TitleVenuePaperProjectGithub
PointInverterPointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape PriorsWACV 2023[Paper][Project]
PSNet PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and ColorWACV 2020[Paper][Video][Github]

Volumetric Stylization

Abbr.TitleVenuePaperProjectGithub
StyleRF-VolVis StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume VisualizationIEEE VIS 2024[Paper]
ShaDDR ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable RenderingSIGGRAPH Asia 2023 Conf Paper[Paper][Project][Github]
ENST Efficient Neural Style Transfer For Volumetric SimulationsSIGGRAPH Asia 2022[Paper][Project]
SKPN Volumetric appearance stylization with stylizing kernel prediction networkSIGGRAPH 2021[Paper][Video]
LNST Lagrangian Neural Style Transfer for FluidsSIGGRAPH 2020[Paper][Video][Github]
TNST Transport-Based Neural Style Transfer for Smoke SimulationsSIGGRAPH Asia 2019[Paper][Video][Github]

Implicit Shape Stylization

Abbr.TitleVenuePaperProjectGithub
StructReStructRe: Rewriting for Structured Shape ModelingTOG 2025[Paper][Project]
NeuSDFusionNeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and GenerationECCV 2024[Paper][Project]
CNS-EditCNS-Edit: 3D Shape Editing via Coupled Neural Shape OptimizationSIGGRAPH 2024[Paper]
EXIM EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape GenerationSIGGRAPH Asia/TOG 2023[Paper][Project][Github]
SALAD SALAD: Part-Level Latent Diffusion for 3D Shape Generation and ManipulationICCV 2023[Paper][Project][Github]
Neural WaveletNeural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and ManipulationSIGGRAPH Asia 2022 Conf Paper, TOG 2024[Paper][Github]
SPAGHETTISPAGHETTI: Editing Implicit Shapes Through Part Aware GenerationSIGGRAPH/TOG 2022[Paper][Project][Github]
Image guidance: Text guidance: 3D guidance:
Abbr.TitleVenuePaperProjectGithub
DiffSplat DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat GenerationICLR 2025[Paper][Project][Github]
Meta 3D AssetGen Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR MaterialsNeurIPS 2024[Paper][Project]
WordRobe WordRobe: Text-Guided Generation of Textured 3D GarmentsECCV 2024[Paper][Project]
CRM CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction ModelECCV 2024[Paper][Github]
HiFi-123 HiFi-123: Towards High-fidelity One Image to 3D Content GenerationECCV 2024[Paper][Project][Github]
UniDream UniDream: Unifying Diffusion Priors for Relightable Text-to-3D GenerationECCV 2024[Paper][Project][Github(TBA)]
GVGEN GVGEN: Text-to-3D Generation with Volumetric RepresentationECCV 2024[Paper][Project][Github]
DreamView DreamView: Injecting View-specific Text Guidance into Text-to-3D GenerationECCV 2024[Paper][Github]
ScaleDreamer ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score DistillationECCV 2024[Paper][Project][Github]
RodinHD RodinHD: High-Fidelity 3D Avatar Generation with Diffusion ModelsECCV 2024[Paper][Project][Github(TBA)]
BlockFusionBlockFusion: Expandable 3D Scene Generation using Latent Tri-plane ExtrapolationSIGGRAPH/TOG 2024[Paper][Project][Github(TBA)]
MVD2 MVD2: Efficient Multiview 3D Reconstruction for Multiview DiffusionSIGGRAPH 2024 Conf Paper[Paper]
HiFA HiFA: High-fidelity Text-to-3D with Advanced Diffusion GuidanceICLR 2024[Paper][Project][Github]
DreamCraft3D DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion PriorICLR 2024[Paper][Project][Github]
DreamGaussian DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content CreationICLR 2024[Paper][Project][Github]
Progressive3D Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic PromptsICLR 2024[Paper][Project][Github]
SyncDreamer SyncDreamer: Generating Multiview-consistent Images from a Single-view ImageICLR 2024[Paper][Project][Github]
GaussianDreamer GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion ModelsCVPR 2024[Paper][Project][Github]
GSGEN GSGEN: Text-to-3D using Gaussian SplattingCVPR 2024[Paper][Github]
LucidDreamer LucidDreamer: Domain-free Generation of 3D Gaussian Splatting ScenesCVPR 2024[Paper][Project][Github]
DreamFusion DreamFusion: Text-to-3D using 2D DiffusionICLR 2023[Paper][Project][Github]
(unofficial)
SJC Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D GenerationCVPR 2023[Paper][Project][Github]
Magic3D Magic3D: High-Resolution Text-to-3D Content CreationCVPR 2023[Paper][Project]
Fantasia3D Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content CreationICCV 2023[Paper][Project][Github]
Zero-1-to-3 Zero-1-to-3: Zero-shot One Image to 3D ObjectICCV 2023[Paper][Project][Github]
ProlificDreamer ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationNeurIPS 2023[Paper][Project][Github]
3D VADER Autodecoding Latent 3D Diffusion ModelsNeurIPS 2023[Paper][Project][Github]
CLIP-Mesh CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelsSIGGRAPH Asia 2022 Conf Paper[Paper][Project][Github]

Other 3D Stylization

Image guidance: Text guidance: 3D guidance:
Abbr.TitleVenuePaperProjectGithub
Texture-GSTexture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting EditingECCV 2024[Paper][Project][Github]
SMooDi SMooDi: Stylized Motion Diffusion ModelECCV 2024[Paper][Project][Github]
SRFoEStylized Rendering as a Function of ExpectationSIGGRAPH/TOG 2024[Paper]
LayGA LayGA: Layered Gaussian Avatars for Animatable Clothing TransferSIGGRAPH 2024 Conf Paper[Paper][Project]
Stealth ShaperStealth Shaper: Reflectivity Optimization as Surface StylizationSIGGRAPH 2023 Conf Paper[Paper][Project][Github]
Stroke Transfer Stroke Transfer: Example-based Synthesis of Animatable Stroke StylesSIGGRAPH 2022 Conf Paper[Paper][Project][Github]
Normal-Driven Normal‐Driven Spherical Shape AnalogiesComputer Graphics Forum, SGP 2021[Paper][Video][Github1]
[Github2]
PBFLRPhysically-based Feature Line RenderingSIGGRAPH Asia/TOG 2021[Paper][Project]
StyleProp StyleProp: Real‐time Example‐based Stylization of 3D ModelsComputer Graphics Forum, PG 2020[Paper][Project]
StyleBlit StyleBlit: Fast Example‐Based Stylization with Local GuidanceComputer Graphics Forum, EG 2019[Paper][Project][Github]
[Unity Plugin]
Cubic Stylization Cubic StylizationSIGGRAPH Asia 2019[Paper][Project][Github1]
[Github2]
StyleLit StyLit: Illumination-Guided Example-Based Stylization of 3D RenderingsSIGGRAPH 2016[Paper][Project][Demo]

Mesh Stylization

Neural 3D Mesh Renderer
Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada
CVPR 2018. [Paper][Project] [Github]
Features:

  • approximate gradient for rasterization
  • single-image 3d mesh reconstruction with 2d supervision
  • gradient-based 3d mesh editing including 2d->3d style transfer(image->mesh)

Paparazzi: Surface Editing by way of Multi-View Image Processing
Hsueh-Ti Derek Liu, Michael Tao, Alec Jacobson
SIGGRAPH Asia 2018. [Paper] [Project] [Github]
Features:

  • image-guided mesh surface stylization
  • vertex position optimization
  • sample training cameras on the offset surface

3DStyleNet: Creating 3D Shapes with Geometric and Texture Style
Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler
ICCV 2021. [Paper] [Project]
Features:

  • 3D shape and texture style tranfer
  • 3D textured model as guidance
  • Large 3D data driven

StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions
Lukas Höllein, Justin Johnson, Matthias Nießner
CVPR 2022. [Paper] [Project] [Github]
Features:

  • 3D consistent texture optimization
  • depth-aware and angle-aware optimization for equally-sized and unstreched stylization patterns

Text2Mesh: Text-Driven Neural Stylization for Meshes
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
CVPR 2022.[Paper] [Project] [Github]
Features:

  • based on CLIP[Github]
  • handle low quality meshes

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
Neurips 2022. [Paper] [Project] [Github]

Creative Birds: Self-Supervised Single-View 3D Style Transfer
Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang
ICCV 2023. [Paper] [Github]

Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details
Inwoo Hwang, Hyeonwoo Kim, Young Min Kim
CVPR 2023. [Paper] [Video] [Github]

TextDeformer: Geometry Manipulation using Text Guidance
William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka
SIGGRAPH Conference Proceedings 2023. [Paper] [Project] [Github]

TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
SIGGRAPH Conference Proceedings 2023. [Paper] [Project] [Github]

Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
ICCV 2023. [Paper] [Project] [Github]

X-Mesh:Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance
Yiwei Ma, Xiaioqing Zhang, Xiaoshuai Sun, Jiayi Ji, Haowei Wang, Guannan Jiang, Weilin Zhuang, Rongrong Ji
ICCV 2023. [Paper] [Project] [Github]

Volumetric Stylization

Transport-Based Neural Style Transfer for Smoke Simulations
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler
SIGGRAPH Asia 2019.| [Paper] [Video] [Github]
Features:

  • dynamic smoke
  • optimization-based stylization

Lagrangian Neural Style Transfer for Fluids
Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler
SIGGRAPH 2020. [Paper] [Video] [Github]
Features:

  • fluid
  • optimization-based stylization

Volumetric appearance stylization with stylizing kernel prediction network
Jie Guo, Mengtian Li, Zijing Zong, Yuntao Liu, Jingwu He, Yanwen Guo, Ling-Qi Yan
SIGGRAPH 2021. [Paper)] [Video]|
Features:

  • dynamic or static model
  • arbitrary style transfer

Efficient Neural Style Transfer For Volumetric Simulations
Joshua Aurand, Raphaël Oritz, Sylvia Nauer, Vinicius Azevedo
ACM SIGGRAPH Asia, 2022. [Paper][Video]
Features:

  • mainly for smoke
  • view-independent stylization
  • feed-forward network for acceleration

Point Cloud Stylization

PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color
Xu Cao, Weimin Wang, Katashi Nagao, Ryosuke Nakamura
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020
[Paper] [Github] [Video] Features:

  • explicit point cloud stylization
  • geometric and color stylization

Neural Field Stylization

General Neural Rendering

Learning to stylize novel views
Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang.
ICCV 2021. [Paper] [Project] [Github]
Features:

  • Point-cloud based feature
  • Style feature transformation
  • Require MVS reconstruction, depth rendering
  • zero-shot novel view stylization

3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li
CVPR 2022. [Paper] [Project] [Github]
Features:

  • pre-trained NeRF with color prediction module replaced with a style network
  • mutual learning for two parts mentioned above

Artistic Style Novel View Synthesis Based on A Single Image
Kuan-Wei Tseng, Yao-Chih Lee, Chu-Song Chen
CVPR Workshop 2022 / SIGGRAPH Poster 2022.[Paper] [Project] [Github]
Features:

  • based on Synsin(differentiable point cloud renderer)[Paper]
  • occlusion aware dense matching
  • mainly for VR

Radiance Field Based Rendering

Stylizing 3D Scene via Implicit Representation and HyperNetwork
Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-sheng Lai, Wei-Chen Chiu.
WACV 2022. [Paper] [Project] [Github]
Features:

  • hypernetwork to control NeRF weights
  • two-step training and patch-subsampling
  • zero-shot novel view stylization

StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning
Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao
CVPR 2022. [Paper] [Project] [Github]
Features:

  • pre-trained NeRF with color prediction module replaced with a style network
  • mutual learning for two parts mentioned above
  • zero-shot novel view stylization

ARF: Artistic Radiance Fields
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
ECCV 2022. [Paper] [Project] [Github]
Features:

  • pre-trained NeRF with color prediction module replaced with a style network
  • mutual learning for two parts mentioned above

Unified Implicit Neural Stylization
Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
ECCV 2022. [Paper] [Project] [Github]
Features:

  • continuous in the style space(allow interpolation between styles)

Instant Neural Radiance Fields Stylization
Shaoxu Li, Ye Pan
[Paper] [Github]
Features:

  • training for novel view stylization image synthesis only costs 10 minutes.
  • extend the style target of NeRF stylization from images to 3D scene image sets

SNeRF: Stylized Neural Implicit Representations for 3D Scenes
Thu Nguyen-Phuoc, Feng Liu, Lei Xiao
SIGGRAPH 2022.[Paper]
Features:

  • applies to indoor scenes, outdoor scenes and 4D dynamic avatars
  • reduce GPU memory requirement

Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization
Zicheng Zhang, Yinglu Liu, Congying Han, Yingwei Pan, Tiande Guo, Ting Yao
CVPR 2023. [Paper]
Features:

  • photo-realistic
  • based on Lipschitz transformation and condition

StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
Kunhao Liu, Fangneng Zhan, Yiwen Chen, Jiahui Zhang, Yingchen Yu, Abdulmotaleb El Saddik, Shijian Lu, Eric Xing
CVPR 2023. [Paper] [Project] [Github]
Features:

  • zero-shot 3d stylization
  • sampling-invariant content transformation
  • deferring style transformation to 2D feature maps
  • zero-shot novel view stylization

Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
Yuechen Zhang, Zexin He, Jinbo Xing, Xufeng Yao, Jiaya Jia
CVPR 2023. [Paper] [Project] [Github]
Features:

  • reference based ray registration process and a template-based feature matching scheme to achieve geometrically and perceptually consistent stylization

Locally Stylized Neural Radiance Fields
Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung
ICCV 2023. [Paper] [Project] [Github]
Features:

  • explicitly semantic match stylization
  • based on instant-NGP
  • room stylization

Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
Chong Bao, Yinda Zhang, Bangbang Yang, Tianxing Fan, Zesong Yang, Hujun Bao, Guofeng Zhang, Zhaopeng Cui
CVPR 2023. [Paper] [Project] [Github]
Features:

  • edit a photo-realistic NeRF with a single-view image or with text prompts
  • cyclic constraints with a proxy mesh for geometric editing
  • the color compositing mechanism to enhance texture editing
  • feature-cluster-based regularization to control the affected editing area and maintain irrelevant parts unchanged

NeRF-Art: Text-Driven Neural Radiance Fields Stylization
Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
TVCG 2023. [Paper] [Project] [Github]
Features:

  • combine CLIP[Github] with NeRF
  • cover global structures and local details
  • adopt a weight regularization to effectively reduce cloudy artifacts and geometry noises

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
ICCV 2023. [Paper] [Project] [Github]
Features:

  • extract shape and appearance priors from a 2D diffusion model
  • edit input images and change 3d implicit field representation

Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
ICCV 2023. [Paper] [Project]
Features:

  • text-guided local editing
3d-stylization
neural-style-transfer
stylization

Contributors

chenyingshu

111 commits

DukeofCambridge

31 commits

Zhu-Liyuan

2 commits

wangpeng000

1 commits

Languages

Python

95.1%

Shell

4.9%