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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)
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.
Implementation of EDSR, ESPCN, LAPSRN, SRCNN, SRGAN and WDSR for single image super-resolution (SISR) based on Tensorflow 2.x for CMU's 10-707 Advanced Deep Learning Final Project
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.