ARSG-110K

ARSG-110K is a large-scale scene-level dataset for 3D scene generation and completion, introduced in the paper 3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image.

• Project Page: https://zx-yin.github.io/3dfixer
• Github Repository: https://github.com/HorizonRobotics/3D-Fixer
• Paper: https://arxiv.org/abs/2604.04406

Dataset Summary

ARSG-110K is designed to address the data scarcity bottleneck in compositional 3D scene generation. It is one of the largest scene-level datasets to date, comprising:

• Over 110,000 diverse scenes.
• 3 million annotated images.
• High-fidelity 3D ground truth, including object-level layouts and annotations.
• Built upon the TRELLIS-500K dataset.

The dataset supports tasks such as in-place completion, where complete 3D assets are generated conditioned on partially visible point clouds cropped from fragmented geometry.

Citation

@inproceedings{yin2026tdfixer,
  title={3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image},
  author={Yin, Ze-Xin and Liu, Liu and Wang, Xinjie and Sui, Wei and Su, Zhizhong and Yang, Jian and Xie, jin},
  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
  year={2026}
}