ExtremeOcc-3D is a benchmark for amodal 3D generation under severe object
occlusion, introduced with RelaxFlow: Text-Driven Amodal 3D
Generation, an ICML 2026 Spotlight paper.
The benchmark contains 264 single-view indoor scenes. Each sample provides an
occluded scene render, a target-object mask, an isolated render of the visible
object part, a category text label, and ground-truth 3D assets for evaluation.
Use manifest.json as the entry point. All paths in the… See the full description on the dataset page:
https://huggingface.co/datasets/KayZhu/ExtremeOcc-3D.
