HorizonRobotics/ARSG-110K
ARSG-110K Project Page | Paper | GitHub 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… See the full description on the dataset page: https://huggingface.co/datasets/HorizonRobotics/ARSG-110K.
| Author / organization | HorizonRobotics |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 203 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 29 March 2026 |
| Last updated at source | 8 April 2026 |
Recent changes
- 16 Oct 2026 Description: ARSG-110K Project Page | Paper | GitHub 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 → ARSG-110K Project Page | Paper | GitHub 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
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