| license: apache-2.0 | |
| task_categories: | |
| - image-to-3d | |
| tags: | |
| - 3d | |
| - scene-generation | |
| - cvpr | |
| # ARSG-110K | |
| [**Project Page**](https://zx-yin.github.io/3dfixer/) | [**Paper**](https://huggingface.co/papers/2604.04406) | [**GitHub**](https://github.com/HorizonRobotics/3D-Fixer) | |
| ARSG-110K is a large-scale scene-level dataset comprising over 110K diverse scenes and 3M annotated images with high-fidelity 3D ground truth. It is designed to support the training and evaluation of compositional 3D scene generation and in-place completion models. The dataset provides accurate 3D object-level ground-truth, layout, and annotations. | |
| This dataset was introduced as part of the paper: **3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image**. | |
| ## Dataset Details | |
| - **Source Data**: The `Objaverse_github.csv` and `ObjaverseXL_sketchfab.csv` are subsets of those from [TRELLIS-500K](https://github.com/microsoft/TRELLIS?tab=readme-ov-file#-dataset). | |
| - **Assets**: The `hdrs.zip`, `materials_floor.zip`, and `materials_wall.zip` contain assets from [BlenderKit](https://www.blenderkit.com/). | |
| - **Examples**: This repository provides renderings of 1000 example scenes. | |
| ## Accessing the Data | |
| Please follow the [detailed instructions](https://github.com/HorizonRobotics/3D-Fixer/blob/main/DATASET.md) on the official GitHub repository to access the full dataset beyond the example renderings. | |
| ## Citation | |
| ```bibtex | |
| @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} | |
| } | |
| ``` |