Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
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Updated
May 13, 2022 - Python
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
动漫图片超分辨率(SISR)——基于WDSR (2019-4-30)
Enhance low resolution image using Convolutional Neural Nets. My solution to European Space Agency's one of its many contest.
Super-Resolution models implemented in PyTorch Lightning
神经网络模型训练研究学习
Super Resolution using EDSR. Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR) model trained to convert a Low-Resolution image to a Super-Resolution image.
This is an Image Enhancement project which uses EDSR, WDSR, and SRGAN methods to increase the resolution of an image while also improving the details significantly.
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