Code for 2019-NAIC-Preliminary-Contest

We tried FPNL and EDVR.

train FPNL: python train_FPNL.py

train EDVR: pythob train_EDVR.py

More detailed introduction about this project can be found in the Kesci K-lab notbook.

The trained model of this project can be download from:

服务器下载:http://dutmedia.org/4kai_model.zip.

百度云盘下载:https://pan.baidu.com/s/10CDA3lj5xUhjL6GRSMEqIg 提取码: 3hmp

FPNL: @inproceedings{PFNL, title={Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations}, author={Yi, Peng and Wang, Zhongyuan and Jiang, Kui and Jiang, Junjun and Ma, Jiayi}, booktitle={IEEE International Conference on Computer Vision (ICCV)}, pages={3106-3115}, year={2019}, }

EDVR: @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}, }