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I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models
<a href='https://i2v-adapter.github.io'><img src='https://img.shields.io/badge/Project-Page-green'></a>
<a href='https://arxiv.org/abs/2312.16693'><img src='https://img.shields.io/badge/Technique-Report-red'></a>
š Introduction
This is a PyTorch/GPU implementation of the paper I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models
āØ Code and pretrained models are coming soon, please stay tuned āØ
<!-- ## š Changelog - __[2023.12.27]__: Release [I2V-Adapter](https://arxiv.org/abs/2312.16693) Technical Report! - __[2023.12.30]__: Update repo [I2V-Adapter](https://github.com/I2V-Adapter/I2V-Adapter-repo) ## BibTeX If this repo is useful to you, please cite the corresponding technical paper. ```bibtex @article{guo2023i2vadapter, title={I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models}, author={Xun Guo and Mingwu Zheng and Liang Hou and Yuan Gao and Yufan Deng and Chongyang Ma and Weiming Hu and Zhengjun Zha and Haibin Huang and Pengfei Wan and Di Zhang}, journal={arXiv preprint arXiv:2312.16693}, year={2023}, } ``` -->š¤ Acknowledgements
Codebase builds on Diffusers and AnimateDiff.
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