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original/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}
+}

original/CITATION.cff

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+cff-version: 1.2.0
+message: "If you use AmbiSem-3D or RelaxFlow, please cite the paper below."
+title: "AmbiSem-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"

original/README.md

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+---
+pretty_name: "AmbiSem-3D"
+tags:
+- 3d
+- image
+- amodal-3d-generation
+- semantic-ambiguity
+---
+
+# AmbiSem-3D
+
+A diagnostic set of 21 single-image cases for amodal 3D generation under semantic ambiguity, where the visible evidence in an image is ambiguous, consistent with multiple plausible object identities. Each sample provides an observation image, a category text label disambiguating the intended interpretation, and (for some samples) an object mask.
+
+## Folder layout
+
+```
+AmbiSem-3D/
+├── manifest.json           # 21 sample entries
+└── assets/
+    └── <sample_id>/
+        ├── input.png       # observation image
+        └── mask.png        # optional, only for samples that include one
+```
+
+## Manifest fields
+
+Each entry contains:
+
+| Field | Description |
+|---|---|
+| `id` | Stable sample identifier matching the `assets/<sample_id>/` folder |
+| `image` | Observation image (relative to dataset root) |
+| `obs_object_image` | Same as `image` for this dataset |
+| `prior_text` | Disambiguating text caption |
+| `mask` | Object mask, included only when available |
+
+All paths are relative to this `AmbiSem-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/AmbiSem-3D/manifest.json \
+  --priors-root path/to/my_priors \
+  --output path/to/AmbiSem-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 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}
+}
+```

original/manifest.json

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+[
+  {
+    "id": "bag_flower",
+    "image": "assets/bag_flower/input.png",
+    "obs_object_image": "assets/bag_flower/input.png",
+    "prior_text": "a bag with a flower"
+  },
+  {
+    "id": "bag_lion",
+    "image": "assets/bag_lion/input.png",
+    "obs_object_image": "assets/bag_lion/input.png",
+    "prior_text": "a bag with a lion"
+  },
+  {
+    "id": "bed",
+    "image": "assets/bed/input.png",
+    "obs_object_image": "assets/bed/input.png",
+    "prior_text": "a bed"
+  },
+  {
+    "id": "bike-red_wheel",
+    "image": "assets/bike-red_wheel/001.png",
+    "obs_object_image": "assets/bike-red_wheel/masked_image.png",
+    "prior_text": "a bike with a red wheel at the back, and a blue wheel at the front",
+    "mask": "assets/bike-red_wheel/mask.png"
+  },
+  {
+    "id": "bike_three_wheels",
+    "image": "assets/bike_three_wheels/input.png",
+    "obs_object_image": "assets/bike_three_wheels/masked_image.png",
+    "prior_text": "a bike with two wheels at the back",
+    "mask": "assets/bike_three_wheels/mask.png"
+  },
+  {
+    "id": "bird_red_beak",
+    "image": "assets/bird_red_beak/input.png",
+    "obs_object_image": "assets/bird_red_beak/input.png",
+    "prior_text": "a bird with a red beak"
+  },
+  {
+    "id": "boat_in_basin",
+    "image": "assets/boat_in_basin/image.png",
+    "obs_object_image": "assets/boat_in_basin/image.png",
+    "prior_text": "a toy boat in a basin"
+  },
+  {
+    "id": "box",
+    "image": "assets/box/003.png",
+    "obs_object_image": "assets/box/003.png",
+    "prior_text": "an opened box"
+  },
+  {
+    "id": "coke",
+    "image": "assets/coke/input.png",
+    "obs_object_image": "assets/coke/input.png",
+    "prior_text": "a Pepsi coke bottle"
+  },
+  {
+    "id": "dress_table",
+    "image": "assets/dress_table/input.png",
+    "obs_object_image": "assets/dress_table/input.png",
+    "prior_text": "a dressing table with a mirror"
+  },
+  {
+    "id": "fence_house",
+    "image": "assets/fence_house/input.png",
+    "obs_object_image": "assets/fence_house/masked_image.png",
+    "prior_text": "a fence with a house",
+    "mask": "assets/fence_house/mask.png"
+  },
+  {
+    "id": "guitar",
+    "image": "assets/guitar/input.png",
+    "obs_object_image": "assets/guitar/masked_image.png",
+    "prior_text": "a guitar",
+    "mask": "assets/guitar/mask.png"
+  },
+  {
+    "id": "oil_tong_pattern_fire",
+    "image": "assets/oil_tong_pattern_fire/input.png",
+    "obs_object_image": "assets/oil_tong_pattern_fire/input.png",
+    "prior_text": "An oil drum with a warning triangle symbol"
+  },
+  {
+    "id": "sashuihu_or_light",
+    "image": "assets/sashuihu_or_light/input.png",
+    "obs_object_image": "assets/sashuihu_or_light/input.png",
+    "prior_text": "a watering can"
+  },
+  {
+    "id": "shield",
+    "image": "assets/shield/input.png",
+    "obs_object_image": "assets/shield/input.png",
+    "prior_text": "a shield"
+  },
+  {
+    "id": "single_table_or_dual",
+    "image": "assets/single_table_or_dual/input.png",
+    "obs_object_image": "assets/single_table_or_dual/input.png",
+    "prior_text": "a double pedestal desk"
+  },
+  {
+    "id": "skull",
+    "image": "assets/skull/input.png",
+    "obs_object_image": "assets/skull/input.png",
+    "prior_text": "a skull"
+  },
+  {
+    "id": "sofa",
+    "image": "assets/sofa/input.png",
+    "obs_object_image": "assets/sofa/input.png",
+    "prior_text": "a sofa"
+  },
+  {
+    "id": "table",
+    "image": "assets/table/input.png",
+    "obs_object_image": "assets/table/input.png",
+    "prior_text": "a table"
+  },
+  {
+    "id": "tie_fighter",
+    "image": "assets/tie_fighter/input.png",
+    "obs_object_image": "assets/tie_fighter/input.png",
+    "prior_text": "a Twin Ion Engine fighter from Star Wars"
+  },
+  {
+    "id": "tree",
+    "image": "assets/tree/input.png",
+    "obs_object_image": "assets/tree/input.png",
+    "prior_text": "a tree"
+  }
+]