ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise Injection in Super-Resolution GANs
pip install numpy opencv-python lmdb tensorboardX
test_image/LR
folder.test_image/pretrained_models
.python test_image/test.py test_image/pretrained_models/nESRGANplus.pth
(or any other models).test_image/results
folder.codes/options/train/train_ESRGANplus.json
.python train.py -opt codes/options/train/train_ESRGANplus.json
.@INPROCEEDINGS{9054071,
author = {N. C. {Rakotonirina} and A. {Rasoanaivo}},
booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
title={ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network},
year={2020},
volume={},
number={},
pages={3637-3641},}
@INPROCEEDINGS{9413318,
author={Roziere, Baptiste and Rakotonirina, Nathanaël Carraz and Hosu, Vlad and Rasoanaivo, Andry and Lin, Hanhe and Couprie, Camille and Teytaud, Olivier},
booktitle={2020 25th International Conference on Pattern Recognition (ICPR)},
title={Tarsier: Evolving Noise Injection in Super-Resolution GANs},
year={2021},
volume={},
number={},
pages={7028-7035},
keywords={Training;Image quality;Gaussian noise;Superresolution;Quality assessment;Pattern recognition;Standards},
doi={10.1109/ICPR48806.2021.9413318}}