| --- |
| license: cc-by-4.0 |
| library_name: transformers |
| tags: |
| - vision-language-model |
| --- |
| |
| # This model is the result of joint research conducted by Hao Tang's team at the School of Computer Science, Peking University, and the Beijing Academy of Artificial Intelligence (BAAI). |
|
|
| ## ConsiSpace |
|
|
| Official model weights for **ConsiSpace**. |
|
|
| ConsiSpace is a geometry-consistent multimodal framework for |
| spatial reasoning in long-form visual observations. |
|
|
| 📄 Paper: https://arxiv.org/abs/2607.17599 |
|
|
| ```bibtex |
| @article{huang2026consispace, |
| title={ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning}, |
| author={Ting Huang and Zhenyu Zhang and Wenyuan Huang and Jian Yang and Hao Tang}, |
| year={2026}, |
| eprint={2607.17599}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2607.17599}, |
| } |
| |
| ``` |
