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Frame-Recurrent Video Super-Resolution (official repository)

Home Page: http://msajjadi.com

deep-learning publication cvpr2018 google max-planck-institute video-super-resolution frvsr optical-flow super-resolution video-enhancement neural-networks

frvsr's Introduction

Frame-Recurrent Video Super-Resolution

This is the official repository for the Frame-Recurrent Video Super-Resolution project by Mehdi S. M. Sajjadi, Raviteja Vemulapalli and Matthew Brown, presented at CVPR 2018.

Results

demo (left: low-resolution input, middle: FRVSR output, right: high-resolution ground truth)

More videos

https://vimeo.com/album/5053944

Vid4 dataset

https://people.tuebingen.mpg.de/msajjadi/FRVSR_Vid4.zip

Paper and Poster

Training dataset

  1. Download the source file dataset_train.txt
  2. Install youtube-dl
  3. Run youtube-dl -civ --batch-file=dataset_train.txt

Please note that some of the videos may be unavailable by now.

BibTex citation

@inproceedings{frvsr,
  title={{Frame-Recurrent Video Super-Resolution}},
  author={Sajjadi, Mehdi S. M. and Vemulapalli, Raviteja and Brown, Matthew},
  booktitle = {{The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}},
  month = {June},
  year={2018}
}

For any questions, comments or help to get it to run, please don't hesitate to mail us: [email protected]

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