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

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

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

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

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

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 [NO LONGER UPDATED]

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

TOFlow: Video Enhancement with Task-Oriented Flow

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

A modern PyTorch implementation of SRGAN

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

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

Frame-Recurrent Video Super-Resolution (official repository)

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

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

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

Scale-wise Convolution for Image Restoration

Bicubic interpolation for images (Python)

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

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

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

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

3D super-resolution using Generative Adversarial Networks

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

Benchmark and resources for single super-resolution algorithms

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

Pytorch implementation for SRDenseNet (ICCV2017)

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

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

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

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

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.

A survey of recent application of deep learning on super-resolution tasks

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

Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

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

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

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

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

A generic framework which implements some famouts super-resolution models

Awesome GAN for Medical Imaging

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

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

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)