167 Open source projects that are alternatives of or similar to Ignn

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

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

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

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

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

OpenMMLab Image and Video Editing Toolbox

A Python implementation of RAISR

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.

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

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.

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.

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

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

Awesome Resources for Advanced Computer Vision Topics

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

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

VDSR (CVPR2016) pytorch implementation

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

All image quality metrics you need in one package.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

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

torch implementation of srgan

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

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

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

Matlab reimplementation of SCNSR

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

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

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

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

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

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

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

A Real-ESRGAN model trained on a custom dataset

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

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

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

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

A High-Quality Real Time Upscaler for Anime Video

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

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

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

Patch-base progressive 3D Point Set Upsampling

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

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

Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)

Trainable models and NN optimization tools

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

PyTorch on Super Resolution

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

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