167 Open source projects that are alternatives of or similar to Awesome Eccv2020 Low Level Vision

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

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

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

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

VDSR (CVPR2016) pytorch implementation

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

A Python implementation of RAISR

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

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

Trainable models and NN optimization tools

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

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

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

Awesome Resources for Advanced Computer Vision Topics

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

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

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

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.

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.

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

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

torch implementation of srgan

All image quality metrics you need in one package.

A Pytorch implemented Deep SR-ITM (ICCV2019)

Benchmark and resources for single super-resolution algorithms

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

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

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

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

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

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

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

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

Image Super-Resolution for Anime-Style Art

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)

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)

Super Resolution of picture images using deep learning

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

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

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

3D super-resolution using Generative Adversarial Networks

TOFlow: Video Enhancement with Task-Oriented Flow

Scale-wise Convolution for Image Restoration

A modern PyTorch implementation of SRGAN

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

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

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

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

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.

Matlab reimplementation of SCNSR

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