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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.
This dataset was introduced as part of the paper: 3D-Fixer: Coarse-to-Fine In-place Completion… See the full description on the dataset page:
https://huggingface.co/datasets/HorizonRobotics/ARSG-110K.
