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README.md

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+---
+pretty_name: AmbiSem-3D
+tags:
+- 3d
+- image
+- amodal-3d-generation
+- semantic-ambiguity
+---
+
+# AmbiSem-3D
+
+AmbiSem-3D is a diagnostic benchmark for amodal 3D generation under semantic
+ambiguity, introduced with RelaxFlow: Text-Driven Amodal 3D Generation.
+
+This repository contains two separated subsets:
+
+| Subset | Folder | Entries | Description |
+|---|---:|---:|---|
+| Original | `original/` | 21 | Hand-curated single-image ambiguity cases |
+| Extended | `extended/` | 100 | Semi-automatically curated view-induced ambiguity cases |
+
+Each subset has its own `manifest.json`, `README.md`, and `assets/` directory.
+All paths in a subset manifest are relative to that subset folder.
+
+## Usage
+
+Download the repository, then pass the subset manifest path to the RelaxFlow
+batch runner or to the `prepare_manifest_with_priors.py` helper from the
+RelaxFlow code release.
+
+## Citation
+
+If you use AmbiSem-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}
+}
+```