KayZhu/ExtremeOcc-3D

ExtremeOcc-3D 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.

<iframe src="https://silytics.si/embed/item/20de46ce-46bf-4b73-9725-e3efbe05390c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.