A TensorFlow implementation of ESRGAN
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Updated
Jul 28, 2019 - Python
A TensorFlow implementation of ESRGAN
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
使用PaddlePaddle复现Real-ESRGAN
Reimplementation of SRGAN using TensorFlow 2
Block-wise confidence-aware CNN that predicts the compression quality level (e.g. JPEG quality factor) of an image in real time — official TensorFlow implementation of the BMVC 2021 paper
Restoring old images using deep learning. Initial code is adopted from Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising by K. Zhang, et. al By: Maya Hussein & Nada Badawi
Reimplement Super Resolution CNN by using DIV2K datasets
PyTorch implementation of SRGAN — 4× photo-realistic image super-resolution using VGG perceptual loss · PSNR 28.45 dB on DIV2K (Ledig et al., CVPR 2017)
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