| --- |
| 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**](https://arxiv.org/abs/2603.05425), an ICML 2026 Spotlight paper. |
|
|
| 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. |
| Code and runners are available in the |
| [**RelaxFlow repository**](https://github.com/viridityzhu/RelaxFlow). |
|
|
| ## 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}, |
| url = {https://arxiv.org/abs/2603.05425} |
| } |
| ``` |
|
|
