ViLLa-X


NameViLLa-X JSON
Version 0.0.2 PyPI version JSON
download
home_pageNone
SummaryViLLa-X
upload_time2025-08-11 18:07:23
maintainerNone
docs_urlNone
authorNone
requires_python>=3.9
licenseMIT License Copyright (c) 2025 Phil Wang Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords artificial intelligence attention mechanism deep learning flow policy latent actions robotics transformers
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
<img src="./villa-x.png" width="400px"></img>

<img src="./fig1-lam.png" width="400px"></img>

## villa-X (wip)

Implementation of [ViLLa-X](https://arxiv.org/abs/2507.23682v1), "Enhancing Latent Action Modeling in Vision-Language-Action Models", from Tsinghua

## Citations

```bibtex
@inproceedings{Chen2025villaXEL,
    title   = {villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models},
    author  = {Xiaoyu Chen and Hangxing Wei and Pushi Zhang and Chuheng Zhang and Kaixin Wang and Yanjiang Guo and Rushuai Yang and Yucen Wang and Xinquan Xiao and Li Zhao and Jianyu Chen and Jiang Bian},
    year  = {2025},
    url   = {https://api.semanticscholar.org/CorpusID:280401068}
}
```

            

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