The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

Related tags

Deep LearningTMNet
Overview

This is the official PyTorch implementation of TMNet in the CVPR 2021 paper "Temporal Modulation Network for Controllable Space-Time VideoSuper-Resolution"[PDF]. Our TMNet can flexibly interpolate intermediate frames for space-time video super-resolution (STVSR).

Contents

  1. Requirements
  2. Installation
  3. Demo
  4. Training
  5. Testing
  6. Citations

Requirements

Installation

First, make sure your machine has a GPU, which is required for the DCNv2 module.

  1. Clone the TMNet repository.
git clone --recursive https://github.com/CS-GangXu/TMNet.git
  1. Compile the DCNv2:
cd $ROOT/codes/models/modules/DCNv2
bash make.sh
python test.py

Demo (To be uploaded at April 24, 2021 11:59PM (Pacific Time))

Training (To be uploaded at April 24, 2021 11:59PM (Pacific Time))

Testing (To be uploaded at April 24, 2021 11:59PM (Pacific Time))

Citations

If you find the code helpful in your research or work, please cite the following papers.

@InProceedings{xu2021temporal,
  author = {Gang Xu and Jun Xu and Zhen Li and Liang Wang and Xing Sun and Mingming Cheng},
  title = {Temporal Modulation Network for Controllable Space-Time VideoSuper-Resolution},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = {June},
  year = {2021}
}

@InProceedings{xiang2020zooming,
  author = {Xiang, Xiaoyu and Tian, Yapeng and Zhang, Yulun and Fu, Yun and Allebach, Jan P. and Xu, Chenliang},
  title = {Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={3370--3379},
  month = {June},
  year = {2020}
}

@InProceedings{wang2019edvr,
  author    = {Wang, Xintao and Chan, Kelvin C.K. and Yu, Ke and Dong, Chao and Loy, Chen Change},
  title     = {EDVR: Video restoration with enhanced deformable convolutional networks},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  month     = {June},
  year      = {2019},
}

Acknowledgments

Our code is inspired by Zooming-Slow-Mo-CVPR-2020 and EDVR.

Contact

If you have any questions, feel free to E-mail Gang Xu with [email protected].

Owner
Gang Xu
Gang Xu
GitHub Repository
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