167 Open source projects that are alternatives of or similar to Waifu2x

Official repository of JSI-GAN (Accepted at AAAI 2020).

A Pytorch implemented Deep SR-ITM (ICCV2019)

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Awesome Resources for Advanced Computer Vision Topics

Matlab reimplementation of SCNSR

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Trainable models and NN optimization tools

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Patch-base progressive 3D Point Set Upsampling

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

Frame-Recurrent Video Super-Resolution (official repository)

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Scale-wise Convolution for Image Restoration

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

3D super-resolution using Generative Adversarial Networks

Benchmark and resources for single super-resolution algorithms

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

The py version of toflow → https://github.com/anchen1011/toflow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Awesome GAN for Medical Imaging

Super Resolution of picture images using deep learning

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

OpenMMLab Image and Video Editing Toolbox

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 support StyleGAN2, DFDNet.

Image Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.

torch implementation of srgan