167 Open source projects that are alternatives of or similar to Awesome Cvpr2021 Cvpr2020 Low Level Vision

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

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

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

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

Image Super-Resolution for Anime-Style Art

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

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

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

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

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

Scale-wise Convolution for Image Restoration

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

Benchmark and resources for single super-resolution algorithms

Super Resolution of picture images using deep learning

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.

Awesome GAN for Medical Imaging

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

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

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

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

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

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

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

Real-World Super-Resolution via Kernel Estimation and Noise Injection

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.

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

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

Trainable models and NN optimization tools

Awesome Resources for Advanced Computer Vision Topics

A Pytorch implemented Deep SR-ITM (ICCV2019)

Patch-base progressive 3D Point Set Upsampling

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

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

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

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

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

torch implementation of srgan

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

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

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

Matlab reimplementation of SCNSR

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

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

A Python implementation of RAISR

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

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

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

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

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

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

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.

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

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

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

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

3D super-resolution using Generative Adversarial Networks

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