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[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"

[ICCV2023] Self-supervised Character-to-Character Distillation for Text Recognition

Esrgan Pytorch ⭐ 111

A simple implementation of esrgan, which uses the pytorch framework.

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

[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Super Image ⭐ 110

State-of-the-art image super resolution models for PyTorch.

Srdensenet Pytorch ⭐ 109

SRDenseNet-pytorch（ICCV_2017）

Cfsrcnn ⭐ 109

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Nuwave2 ⭐ 108

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022

Waifu2x ⭐ 106

PyTorch on Super Resolution

Nicescaler ⭐ 105

NiceScaler - image/video deeplearning upscaler (OpenCV)

Realesrgan Ncnn Py ⭐ 103

Python Binding for realesrgan-ncnn-vulkan with PyBind11

Fast Neural Style ⭐ 102

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras

Hypertransformer ⭐ 102

[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

Supper Resolution ⭐ 101

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

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

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

A collection of tools for painting super-resolution images

Jalali Lab Implementation Of Raisr ⭐ 92

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has b

Srntt Pytorch ⭐ 91

A PyTorch implementation of SRNTT, which is a novel RefSR method.

Image and video super resolution

Vsr Duf Reimplement ⭐ 90

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.

Super resolution for remote sensing

Esrganplus ⭐ 88

ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise Injection in Super-Resolution GANs

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

Open source Python library for building bioimage analysis pipelines

Sr_mobile_quantization ⭐ 84

Winner solution of mobile AI (CVPRW 2021).

Srrescgan ⭐ 83

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

Hyperrim ⭐ 83

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

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

Super Resolution Videos ⭐ 80

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

This project is the official implementation of 'Knowledge Distillation based Degradation Estimation for Blind Super-Resolution', ICLR2023

Super Resolution of picture images using deep learning

Handheld Multi Frame Super Resolution ⭐ 79

Handheld Multi-image Super-resolution [Wronski et al., SIGGRAPH19]. Non-official GPU-supported Python implementation.

3d Gan Superresolution ⭐ 79

3D super-resolution using Generative Adversarial Networks

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

Wacv2024 Safa ⭐ 77

WACV2024 - Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution

Anime Super Resolution ⭐ 77

动漫图片超分辨率（SISR）——基于WDSR (2019-4-30)

Basicsr Examples ⭐ 77

BasicSR-Examples illustrates how to easily use BasicSR in your own project

This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022

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

This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023

Tensorrt Examples ⭐ 71

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

code for paper "Video Super-resolution with Temporal Group Attention"

Official repository of FISR (AAAI 2020).

Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).

Eccv2020_cucanet ⭐ 68

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution, ECCV, 2020. (PyTorch)

2018_subeesh_epsr_eccvw ⭐ 66

Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)

Ssr_eval ⭐ 65

Evaluation and Benchmarking of Speech Super-resolution Methods

Pytorch Srdensenet ⭐ 65

Pytorch implementation for SRDenseNet (ICCV2017)

Neuricam ⭐ 64

Deep learning based video sensing method for low-power IoT cameras (Smart glasses, GoPro, Blink etc.).

Revisiting RCAN: Improved Training for Image Super-Resolution

This project is the official implementation of 'Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution', AAAI2022

360sr Challenge ⭐ 61

NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution

Edsr_tensorflow ⭐ 60

TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.

Imswitch ⭐ 57

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

[AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution

Hyperres ⭐ 56

The official repository of 'Hypernetwork-Based Adaptive Image Restoration'

Explorable Super Resolution ⭐ 56

GAN based super-resolution (presented at ECCV 2018)

Deepoptics ⭐ 54

Official repository of JSI-GAN (AAAI 2020).

Space_time_pde ⭐ 52

MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution

Lf Dfnet ⭐ 50

[TIP 2021] Light Field Image Super-Resolution Using Deformable Convolution

Ai_upscaler_for_blender ⭐ 50

AI Upscaler for Blender using Real-ESRGAN

Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Propagation" (https://arxiv.org/abs/1909.08080).

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

neosr is a framework for training real-world single-image super-resolution networks.

Superresolution_gan ⭐ 47

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

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

Pcarn Pytorch ⭐ 47

Efficient Deep Neural Network for Photo-realistic Image Super-Resolution

Diffusion Super Resolution ⭐ 45

[CVPR 2023] Guided Depth Super-Resolution by Deep Anisotropic Diffusion

Model-based super-resolution of medical images in PyTorch.

Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)

Pytorch Implement of Urban Flow Magnifier (UrbanFM), KDD-19

Srgan Pytorch ⭐ 44

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

Tf Perceptual Eusr ⭐ 43

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

Burstormer ⭐ 43

SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising

Bicubic Interpolation ⭐ 42

Bicubic interpolation for images (Python)

Tensorflow Espcn ⭐ 42

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Eccv_aeris ⭐ 41

[ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection

Ntire2019_edrn ⭐ 40

My solution for NTIRE2019 real super-resolution

Fsrcnn Tensorflow ⭐ 39

An implementation of the fast super-resolution convolutional neural network in TensorFlow

Component Divide And Conquer For Real World Image Super Resolution ⭐ 39

Pansharpening by convolutional neural networks in the full resolution framework

Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution

The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

Constrained Downscaling ⭐ 38

A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.

Conffusion ⭐ 37

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662

Esrgan Pytorch ⭐ 36

super resolution pytorch using ESRGAN

[NeurIPS'21 Spotlight] PyTorch code for our paper "Aligned Structured Sparsity Learning for Efficient Image Super-Resolution"

Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).

Rcan Tensorflow ⭐ 36

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

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

Hyperspectral Image Spatial Super Resolution Via 3d Full Convolutional Neural Network ⭐ 36

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

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