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README.md

@@ -11,24 +11,15 @@ tags:
 
 ExtremeOcc-3D is a benchmark for amodal 3D generation under severe object
 occlusion, introduced with [RelaxFlow: Text-Driven Amodal 3D
-Generation](https://arxiv.org/abs/2603.05425), an ICML 2026 Spotlight paper.
+Generation](https://arxiv.org/abs/2603.05425).
 
 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.
 
-| Item | Value |
-|---|---|
-| Paper | [RelaxFlow: Text-Driven Amodal 3D Generation](https://arxiv.org/abs/2603.05425) |
-| Venue | ICML 2026 Spotlight |
-| Task | Text-guided amodal 3D generation under extreme occlusion |
-| Samples | 264 single-view scenes |
-| Inputs | Occluded RGB render, target mask, observed-object render, category text |
-| Ground truth | Meshes and multi-view renders for target objects |
-| Code | [viridityzhu/RelaxFlow](https://github.com/viridityzhu/RelaxFlow) |
-
 Use `manifest.json` as the entry point. All paths in the manifest are relative
-to this dataset root.
+to this dataset root. Code and runners are available in the
+[RelaxFlow repository](https://github.com/viridityzhu/RelaxFlow).
 
 ## Folder layout
 
@@ -95,7 +86,6 @@ If you use ExtremeOcc-3D or RelaxFlow, please cite:
   author    = {Zhu, Jiayin and Fu, Guoji and Liu, Xiaolu and He, Qiyuan and Li, Yicong and Yao, Angela},
   booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
   year      = {2026},
-  note      = {Spotlight. arXiv:2603.05425},
   url       = {https://arxiv.org/abs/2603.05425}
 }
 ```