We thank Xintao and his group for their open-sourced image/video processing ToolBox BasicSR. Our codes are totally based on it.
- Linux Ubuntu 18.04+
- Anaconda
- Python 3.7+
- Pytorch 1.7+
-
REDS
- Download the datasets from the official website.
- Regroup the training and validation datasets (following EDVR).
- Make LMDB files when necessary. Please refer to LMDB Description.
-
Vimeo90K
- Download the dataset: Septuplets dataset All GroundTruth images (82GB).
- Generate the low-resolution images. Refer to the scripts files for BI & BD degradation.
- Make LMDB files when necessary. Please refer to LMDB Description.
- Following BasicSR illustration for installation.
- Fetching network source files and other util files to BasicSR's arch folder.
- Following BasicSR illustration for training and testing.
@article{TCNet,
title = {Temporal Consistency Learning of Inter-Frames for Video Super-Resolution},
author = {Liu, Meiqin and Jin, Shuo and Yao, Chao and Lin, Chunyu and Zhao, Yao},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
year = {2022},
publisher = {IEEE}
}