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wwen1997/framer_512x320
framer_512x320 is a machine learning model from wwen1997. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers.
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Updated Dec 19, 2024
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From the Hugging Face model README
Wen Wang<sup>1,2</sup>, Qiuyu Wang<sup>2</sup>, Kecheng Zheng<sup>2</sup>, Hao Ouyang<sup>2</sup>, Zhekai Chen<sup>1</sup>, Biao Gong<sup>2</sup>, Hao Chen<sup>1</sup>, <br>Yujun Shen<sup>2</sup>, Chunhua Shen<sup>1</sup>
<sup>1</sup>Zhejiang University, China, <sup>2</sup>Ant Group
<a href='https://aim-uofa.github.io/Framer'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
</div> <div align="center"> <img src='assets/demos.gif' style="height:350px"></img></div>We propose Framer, a more controllable and interactive frame interpolation method that allows users to produce smoothly transitioning frames between two images by customizing the trajectory of selected keypoints, enhancing control and handling challenging cases.
Please consider citing our paper if our code is useful:
@article{wang2024framer,
title={Framer: Interactive Video Interpolation},
author={Wang, Wen and Wang, Qiuyu and Zheng, Kecheng and Ouyang, Hao and Chen, Zhekai and Gong, Biao and Chen, Hao and Shen, Yujun and Shen, Chunhua},
journal={arXiv preprint https://arxiv.org/abs/2410.18978},
year={2024}
}
For academic use, this project is licensed under the 2-clause BSD License. For commercial use, please contact C Shen.