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

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

TOFlow: Video Enhancement with Task-Oriented Flow

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

A modern PyTorch implementation of SRGAN

Awesome GAN for Medical Imaging

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

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

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

3D super-resolution using Generative Adversarial Networks

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

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

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

SwinIR: Image Restoration Using Swin Transformer (official repository)

Scale-wise Convolution for Image Restoration

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

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

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

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

Bicubic interpolation for images (Python)

Benchmark and resources for single super-resolution algorithms

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

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

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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.

Pytorch implementation for SRDenseNet (ICCV2017)

Super Resolution of picture images using deep learning

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

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

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

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

A survey of recent application of deep learning on super-resolution tasks

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

Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

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

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

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

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

A generic framework which implements some famouts super-resolution models

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

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

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

Super-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.

Image Super-Resolution for Anime-Style Art

Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)

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)

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.

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

Patch-base progressive 3D Point Set Upsampling

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

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

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