Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan
IMAG Lab, Nanjing University of Science and Technology
CFDVSR mainly consists of a propagation module with the discriminative alignment correction (DAC) and a collaborative feedback propagation (CFP) module. The DAC uses shallow features ft to explore more details information after feature warping, which corrects the aligned features for propagation. The Feedback ConvGRU and gated collaborate feed-forward block (GCFB) in CFP bring more temporal interactions between different timestep featuresfrom forward and backward propagation simultaneously.
- [2024-04-09] The paper is available here.
- Release training code
- Release testing code and pre-trained models
- Quantitative Results
- Qualitative Results
- Video Demo
video_demo_015.mp4
video_demo_020.mp4
If this work is helpful for your research, please consider citing the following BibTeX entry.
@article{li2024cfdvsr,
title={Collaborative Feedback Discriminative Propagation for Video Super-Resolution},
author={Li, Hao and Chen, Xiang and Dong, Jiangxin and Tang, Jinhui and Pan, Jinshan},
journal={arXiv preprint arXiv:2404.04745},
year={2024}
}
The README template is borrowed from SAFMN. Thanks for the awesome work.
If you have any questions, please feel free to reach me out at haoli@njust.edu.cn.