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

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.

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

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

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

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

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

Trainable models and NN optimization tools

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

Awesome Resources for Advanced Computer Vision Topics

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

A Pytorch implemented Deep SR-ITM (ICCV2019)

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Patch-base progressive 3D Point Set Upsampling

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

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

A Real-ESRGAN model trained on a custom dataset

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

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

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

Manual, source-code and binaries for the NanoJ-Fluidics project

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

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

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

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

torch implementation of srgan

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

SRZoo: An integrated repository for super-resolution using deep learning

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

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

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

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

Matlab reimplementation of SCNSR

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

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

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’.

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

A video analysis tool built completely in python.

A Python implementation of RAISR

AI Super - Resolution

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

Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow

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

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

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

Official repository of FISR (AAAI 2020).

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

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

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

Efficient & Generic Video Super-Resolution

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.

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

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.

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

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

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