metadata
license: apache-2.0
task_categories:
- image-to-3d
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}
}