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CITATION.bib

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+@inproceedings{zhu2026relaxflow,
+  title     = {RelaxFlow: Text-Driven Amodal 3D Generation},
+  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}
+}

CITATION.cff

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+cff-version: 1.2.0
+message: "If you use ExtremeOcc-3D or RelaxFlow, please cite the paper below."
+title: "ExtremeOcc-3D"
+type: dataset
+authors:
+  - family-names: Zhu
+    given-names: Jiayin
+  - family-names: Fu
+    given-names: Guoji
+  - family-names: Liu
+    given-names: Xiaolu
+  - family-names: He
+    given-names: Qiyuan
+  - family-names: Li
+    given-names: Yicong
+  - family-names: Yao
+    given-names: Angela
+preferred-citation:
+  type: conference-paper
+  title: "RelaxFlow: Text-Driven Amodal 3D Generation"
+  authors:
+    - family-names: Zhu
+      given-names: Jiayin
+    - family-names: Fu
+      given-names: Guoji
+    - family-names: Liu
+      given-names: Xiaolu
+    - family-names: He
+      given-names: Qiyuan
+    - family-names: Li
+      given-names: Yicong
+    - family-names: Yao
+      given-names: Angela
+  collection-title: "Proceedings of the 43rd International Conference on Machine Learning"
+  year: 2026
+  notes: "Spotlight. arXiv:2603.05425"
+  url: "https://arxiv.org/abs/2603.05425"

README.md

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+---
+pretty_name: "ExtremeOcc-3D"
+tags:
+- 3d
+- image
+- amodal-3d-generation
+- extreme-occlusion
+---
+
+# ExtremeOcc-3D
+
+A benchmark of 264 single-view scenes for amodal 3D generation under extreme occlusion. Each sample provides an occluded scene render, an object mask, an isolated observed-object render, a category text label, and ground-truth meshes / multi-view renders.
+
+## Folder layout
+
+```
+ExtremeOcc-3D/
+├── manifest.json           # 264 sample entries
+├── assets/                 # observation images and masks per sample
+│   └── <scene>/<view>/{rendered_scene.png, occluded_mask.png, rendered.png, ...}
+└── gt_assets/              # ground-truth assets shared by views of the same object
+    └── <object_hash>/{mesh.ply, view_0000.png, ...}
+```
+
+## Manifest fields
+
+Each entry contains:
+
+| Field | Description |
+|---|---|
+| `id` | Stable sample identifier |
+| `image` | Occluded scene render (relative to dataset root) |
+| `mask` | Object mask for the target object |
+| `obs_object_image` | Isolated render of the observed (visible) part of the object |
+| `prior_text` | Object category label |
+| `gt_render_dir` | Directory of multi-view GT renders for the target object |
+| `gt_mesh` | Ground-truth mesh (`.ply`) for the target object |
+
+All paths are relative to this `ExtremeOcc-3D/` directory.
+
+## Adding prior images
+
+The manifest does not include a `prior_images` field. Generate priors with any image generator you prefer, organize them per sample, then run the helper to produce a complete manifest:
+
+```
+my_priors/
+└── <sample_id>/             # must match the `id` field in manifest.json
+    ├── prior_0.png
+    ├── prior_1.png          # multiple priors are supported
+    └── ...
+```
+
+```bash
+python prepare_manifest_with_priors.py \
+  --manifest path/to/ExtremeOcc-3D/manifest.json \
+  --priors-root path/to/my_priors \
+  --output path/to/ExtremeOcc-3D/manifest_with_priors.json
+```
+
+Accepted image extensions: `.png .jpg .jpeg .webp`. Files inside each `<sample_id>/` are picked up in sorted order. The output `manifest_with_priors.json` plugs directly into the relaxflow batch runners.
+
+## Citation
+
+If you use ExtremeOcc-3D or RelaxFlow, please cite:
+
+```bibtex
+@inproceedings{zhu2026relaxflow,
+  title     = {RelaxFlow: Text-Driven Amodal 3D Generation},
+  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}
+}
+```