192 Open source projects that are alternatives of or similar to Basicsr

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

VDSR (CVPR2016) pytorch implementation

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

All image quality metrics you need in one package.

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

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

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

A Caffe-based implementation of very deep convolution network for image super-resolution

3D super-resolution using Generative Adversarial Networks

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

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

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

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

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

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

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

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

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

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

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

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

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

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

A video analysis tool built completely in python.

Benchmark and resources for single super-resolution algorithms

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

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

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

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

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

PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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.

Automatically apply AI Upscaling on Dumped Textures

Super Resolution of picture images using deep learning

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

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

Sega Nu restoration notes and discoveries

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

Pytorch implementation for SRDenseNet (ICCV2017)

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

Quake 2 textures upscaled using ESRGAN and the Manga109Attempt model

Patch-base progressive 3D Point Set Upsampling

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

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

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

Image Super-Resolution for Anime-Style Art

Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

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

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN