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

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

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VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

A generic framework which implements some famouts super-resolution models

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

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

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

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.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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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.

Trainable models and NN optimization tools

A Pytorch implemented Deep SR-ITM (ICCV2019)

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

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

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

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

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

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

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

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

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

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

3D super-resolution using Generative Adversarial Networks

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

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

Scale-wise Convolution for Image Restoration

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

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

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

Benchmark and resources for single super-resolution algorithms

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

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

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.

Super Resolution of picture images using deep learning

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

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

torch implementation of srgan

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

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

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

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

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

Patch-base progressive 3D Point Set Upsampling

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

Matlab reimplementation of SCNSR

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

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

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

Image Super-Resolution for Anime-Style Art