Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also sup...
翻译 - 开源图像和视频恢复工具箱,特别适用于超分辨率,包括EDSR,RCAN,SRResNet,SRGAN,ESRGAN,EDVR等。还支持StyleGAN2,DFDNet。
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
翻译 - 使用生成对抗网络的逼真的单图像超分辨率
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
#计算机科学#Tensorflow implementation of the SRGAN algorithm for single image super-resolution
#计算机科学#Awesome Generative Adversarial Networks with tensorflow
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
#计算机科学#A modern PyTorch implementation of SRGAN
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computation...
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)
A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp imple...
#计算机科学#Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs