This repository is a PyTorch implementation of the paper "Learning to Extract Flawless Slow Motion from Blurry Videos" from CVPR 2019 [paper][full version][video]
If you find our work useful in your research or publication, please cite our work:
@InProceedings{Jin_2019_CVPR,
author = {Jin, Meiguang and Hu, Zhe and Favaro, Paolo},
title = {Learning to Extract Flawless Slow Motion from Blurry Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
This code has been tested with Python 3.7 and Pytorch 1.1.0.
Unzip a real test video and download the pretrained model (cvpr19_model.pth) from google drive. This script will generate a 10x slow motion video.
unzip test_video_01.zip
python test_demo.py --cuda --model cvpr19_model.pth --input test_video_01 --out result
You can find the sony slow motion video dataset used in the training from the following link.
To be updated
If you have any suggestions and questions, please send an email to [email protected]