Awesome
Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020)
Project page: https://alterzero.github.io/projects/STAR.html
Dependencies
- Python 3.5
- PyTorch >= 1.0.0
- Pyflow -> https://github.com/pathak22/pyflow
cd [STARnet] git clone https://github.com/pathak22/pyflow cd pyflow/ python setup.py build_ext -i cp pyflow*.so ..
Dataset
Pretrained Model and Testset
https://drive.google.com/drive/folders/1cLZhlx4PLhF75qIZYxuVKLRKzN5_6i8r?usp=sharing
HOW TO
Train w/o FR
python main.py
Train w/ FR
python main_refinement_flow.py
Train w/ FR for STAR-T-HR
python main_refinement_t_sr_hr.py
Evaluate STAR, STAR-ST, STAR-S, STAR-T-LR
python eval.py
Evaluate STAR-T-HR
python eval_star_t_hr.py
Related work
Deep Back-Projection Networks for Super-Resolution (CVPR2018)
Project page: https://alterzero.github.io/projects/DBPN.html
Winner (1st) of NTIRE2018 Competition (Track: x8 Bicubic Downsampling)
Winner of PIRM2018 (1st on Region 2, 3rd on Region 1, and 5th on Region 3)
Recurrent Back-Projection Network for Video Super-Resolution (CVPR2019)
Project page: https://alterzero.github.io/projects/RBPN.html
Honorable mention of NTIRE2019 (Video Super-resolution and Deblurring)
Citations
If you find this work useful, please consider citing it.
@inproceedings{STAR2020,
title={Space-Time-Aware Multi-Resolution Video Enhancement},
author={Haris, Muhammad and Shakhnarovich, Greg and Ukita, Norimichi},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020}
}