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Add metadata and improve dataset card for ARSG-110K (#1)
Browse files- Add metadata and improve dataset card for ARSG-110K (bbb4c92ba0b538c6141238e239f22825d6b5d383)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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---
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#
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---
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license: apache-2.0
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task_categories:
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- image-to-3d
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tags:
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- 3d
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- scene-generation
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- cvpr
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---
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# ARSG-110K
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[**Project Page**](https://zx-yin.github.io/3dfixer/) | [**Paper**](https://huggingface.co/papers/2604.04406) | [**GitHub**](https://github.com/HorizonRobotics/3D-Fixer)
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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.
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This dataset was introduced as part of the paper: **3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image**.
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## Dataset Details
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- **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).
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- **Assets**: The `hdrs.zip`, `materials_floor.zip`, and `materials_wall.zip` contain assets from [BlenderKit](https://www.blenderkit.com/).
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- **Examples**: This repository provides renderings of 1000 example scenes.
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## Accessing the Data
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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.
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## Citation
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```bibtex
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@inproceedings{yin2026tdfixer,
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title={3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image},
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author={Yin, Ze-Xin and Liu, Liu and Wang, Xinjie and Sui, Wei and Su, Zhizhong and Yang, Jian and Xie, jin},
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booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
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year={2026}
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}
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```
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