Awesome Physical AIGC Lists 
This repository provides a comprehensive investigation of advanced physical aware AIGC works.
Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC
Siwei Meng 1,
Yawei Luo 2,
Ping Liu1
1Department of Computer Science, University of Nevada, Reno
2School of Software Technology, Zhejiang University
If you believe there are additional works that should be included in our list, please do not hesitate to send us an email (siweim@unr.edu, yaweiluo@zju.edu.cn, pino.pingliu@gmail.com) or raise an issue. Your suggestions and comments are invaluable to ensuring the completeness and accuracy of our resource.
News
- May 2025: Our work "MAGIC: Motion-Aware Generative Inference via Confidence-Guided LLM" [arXiv] is posted online.
- Apr 2025: Our work "Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC" [arXiv] has been accepted by IJCAI 2025 Survey Track. The final version will be released soon.
Content
Relevant Surveys
AIGC Surveys
- [arXiv 2023] A comprehensive survey of ai-generated content (AIGC): A history of generative ai from GAN to ChatGPT Paper
- [arxiv 2024] Advances in 3D generation: A survey Paper
- [arxiv 2024] A comprehensive survey on 3D content generation Paper
- [arxiv 2025] Advances in 4D Generation: A Survey Paper
Physical Aware AIGC Surveys
- [arXiv 2025] Exploring the Evolution of Physics Cognition in Video Generation: A Survey Paper
- [ACM COMPUT SURV 2025] Physics-informed computer vision: A review and perspectives Paper
- [arXiv 2025] Generative physical AI in vision: A survey Paper
- [IJCAI 2025] Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC Paper
- [arXiv 2025] Exploring the Evolution of Physics Cognition in Video Generation: A Survey Paper
- [arXiv 2025] Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Paper
Datasets
Synthetic Datasets
- [arXiv 2025] Synthetic Video Enhances Physical Fidelity in Video Synthesis Paper Project
- [PAC-NeRF] PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Paper Project
- [Spring-Gaus] Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians Paper Project
Real-world Datasets
- [VIDEOPHY] VIDEOPHY: Evaluating Physical Commonsense for Video Generation Paper Project
- [Physics 101] Physics 101: Learning Physical Object Properties from Unlabeled Videos Paper Project
- [WISA-80K] WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation Paper Project
Benchmark
- [PISA | ICML 2025] PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop Paper Project
- [PhyGenBench | arXiv 2025] Towards World Simulator: Crafting Physical Commonsense-Based Benchmark For Video Generation Paper Project
- [T2VPhysBench | arXiv 2025] T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation Paper
- [Physics IQ Benchmark | ICCVW 2025] Physics IQ Benchmark: Do generative video models understand physical principles? Paper Project
- [PhysUniBench | arXiv 2025] PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models Paper Project
- [UGPhysics | ICML 2025] UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models Paper Code
- [PhyBench | arXiv 2024] PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models Paper
- [PhysBench | ICLR 2025] PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Paper
- [PhyWorldBench | arXiv 2025] PhyWorldBench: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models Paper
- [PhyDetEx | arXiv 2025] PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models Paper Code Dataset
- [ViRectify | arXiv 2025] ViRectify: A Challenging Benchmark for Video Reasoning Correction with Multimodal Large Language Models Paper
- [PAI-Bench | arXiv 2025] PAI-Bench: A Comprehensive Benchmark For Physical AI Paper
- [VideoPhy | arXiv 2024] VideoPhy: Evaluating Physical Commonsense for Video Generation Paper Code
- [VideoPhy-2 | arXiv 2025] VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation Paper Code
- [VideoScience-Bench | arXiv 2025] Benchmarking Scientific Understanding and Reasoning for Video Generation using VideoScience-Bench Paper
- [IntPhys 2 | arXiv 2025] IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments Paper
- [PAI-Bench | arXiv 2025] PAI-Bench: A Comprehensive Benchmark For Physical AI Paper
Static 3D Generation
Single Image-based 3D Generation
- [PhysComp | NeurIPS 2024] Physically Compatible 3D Object Modeling from a Single Image Paper
- [NeurIPS 2024] PhyCAGE: Physically Plausible Compositional 3D Asset Generation from a Single Image Paper
- [arXiv 2025] DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness Paper
- [arXiv 2025] LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs Paper
Text-based 3D Generation
- [arXiv 2024] Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication Paper
- [arXiv 2025] PhiP-G: Physics-Guided Text-to-3D Compositional Scene Generation Paper
- [arXiv 2025] LAYOUTDREAMER: Physics-guided Layout for Text-to-3D Compositional Scene Generation Paper
- [ICCV 2025 Best Paper] Generating Physically Stable and Buildable Brick Structures from Text Paper Project
Dynamic 3D Generation
Vision-based Dynamic 3D Generation
- [CVPR 2024] Generative Image Dynamics Paper Project
- [NeurIPS 2024] MotionCraft: Physics-based Zero-Shot Video Generation Paper Project
- [RAL 2023] Physics 101: Learning Physical Object Properties from Unlabeled Videos Paper Project
- [ECCV 2024] PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation Paper Project
- [CVPR 2025] PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation Paper Project
NeRF-based Dynamic 3D Generation
- [WACV 2024] ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields Paper Project
- [ICLR 2023] PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Paper Project
- [CVPR 2024] Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization Paper
- [CVPR 2024] PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF Paper Project
GS-based Dynamic 3D Generation
- [ECCV 2024] Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians Paper Project
- [ECCV 2024] PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation Paper Project
- [arXiv 2024] Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion Paper Project
- [arXiv 2024] PhysMotion: Physics-Grounded Dynamics From a Single Image Paper Project
- [arXiv 2024] Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering Paper
- [arXiv 2024] Gaussian Splashing: Direct Volumetric Rendering Underwater Paper
- [AAAI 2025] DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors Paper Project
- [CVPR 2024] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics Paper Project
- [ICLR 2025] OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation Paper Project
- [NeurIPS 2024] NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics Paper Project
- [NeurIPS 2024] Gaussian-Informed Continuum for Physical Property Identification and Simulation Paper Project
- [arXiv 2025] MAGIC: Motion-Aware Generative Inference via Confidence-Guided LLM Paper
- [arXiv 2025] ParticleGS: Particle-Based Dynamics Modeling of 3D Gaussians for Prior-free Motion Extrapolation Paper Project
14 [arXiv 2025] PIG: Physically-based Multi-Material Interaction with 3D Gaussians Paper
4D Generation
- [arXiv 2024] Phy124: Fast Physics-Driven 4D Content Generation from a Single Image Paper
- [arXiv 2024] GASP: Gaussian Splatting for Physic-Based Simulations Paper Project
- [arXiv 2024] Phys4DGen: A Physics-Driven Framework for Controllable and Efficient 4D Content Generation from a Single Image Paper Project
- [arXiv 2024] Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis Paper
- [arXiv 2024] Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation Paper
- [ICLR 2025] Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering Paper
- [arXiv 2025] Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding Paper
Video Generation
T2V
- [arXiv 2025] ProPhy: Progressive Physical Alignment for Dynamic World Simulation Paper
- [arXiv 2025] Think Before You Diffuse: LLMs-Guided Physics-Aware Video Generation Paper
- [CVPR 2025] PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation Paper
- [arXiv 2025] RDPO: Real Data Preference Optimization for Physics Consistency Video Generation Paper
- [arXiv 2025] VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Paper
- [arXiv 2025] Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond Paper
- [arXiv 2025] Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Paper
- [arXiv 2025] Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility Paper
- [PhysHPO | arXiv 2025] Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Paper
- [PhysCorr | arXiv 2025] PhysCorr: Dual-Reward DPO for Physics-Constrained Text-to-Video Generation with Automated Preference Selection Paper
I2V
- [arXiv 2025] Physics-Grounded Motion Forecasting via Equation Discovery for Trajectory-Guided Image-to-Video Generation Paper
- [arXiv 2025] MIND-V: Hierarchical Video Generation for Long-Horizon Robotic Manipulation with RL-based Physical Alignment Paper
- [NeurIPS 2025] PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation Paper
- [NeurIPS 2025] PhysMaster: Mastering Physical Representation for Video Generation via Reinforcement Learning Paper
Sim2Real
- [arXiv 2025] Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals Paper Project
- [arXiv 2025] WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation Paper
- [arXiv 2025] Synthetic Video Enhances Physical Fidelity in Video Synthesis Paper Project
Physical Reasoning in VLM/VDM
- [arXiv 2025] Bridge Thinking and Acting: Unleashing Physical Potential of VLM with Generalizable Action Expert Paper
- [arXiv 2025] LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference Paper
- [arXiv 2025] FineQuest: Adaptive Knowledge-Assisted Sports Video Understanding via Agent-of-Thoughts Reasoning Paper
- [arXiv 2025] IPR-1: Interactive Physical Reasoner Paper
- [arXiv 2025] PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models Paper
- [arXiv 2025] PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments Paper
- [arXiv 2025] PhyVLLM: Physics-Guided Video Language Model with Motion-Appearance Disentanglement Paper
Others
Fluids
- [arXiv 2025] RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting Paper
- [arXiv 2025] Vid2Fluid: 3D Dynamic Fluid Assets from Single-View Videos with Generative Gaussian Splatting Paper
- [CVPR 2025] FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video Paper
Audio Generation
- [arXiv 2025] PAVAS: Physics-Aware Video-to-Audio Synthesis Paper