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

3D super-resolution using Generative Adversarial Networks

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

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

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

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

Frame-Recurrent Video Super-Resolution (official repository)

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

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

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

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

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

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

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

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

Super Resolution of picture images using deep learning

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"

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

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

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

Video super resolution implemented in Pytorch

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

Awesome GAN for Medical Imaging

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

Trainable models and NN optimization tools

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

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

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

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

OpenMMLab Image and Video Editing Toolbox

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.

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

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.

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

Awesome Resources for Advanced Computer Vision Topics

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

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

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.

torch implementation of srgan

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

Matlab reimplementation of SCNSR

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

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

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

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

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

A High-Quality Real Time Upscaler for Anime Video

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

Patch-base progressive 3D Point Set Upsampling

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

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

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

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