srresnet 开源项目推荐（18 个）

XPixelGroup /BasicSR

开源图像与视频修复工具箱，用于超分辨率、去噪、去模糊等。目前包含 EDSR、RCAN、SRResNet、SRGAN、ESRGAN、EDVR、BasicVSR、SwinIR、ECBSR 等。还支持 StyleGAN2、DFDNet。

cszn /DPSR

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

alohaleonardo /Super_Resolution_with_CNNs_and_GANs

在 Pytorch 中使用 SRCNN、DRRN、SRGAN、CGAN 进行图像超分辨率

shivamsaboo17 /Deep-Restore-PyTorch

深度CNN，无需干净数据即可学习图像恢复！

twhui /SRGAN-PyTorch

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

trevor-m /tensorflow-SRGAN

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

Ahmad-Zaki /Single_Image_Super_Resolution

A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN

JackieLinn /Intelligent-RS

This is the model repository of YNU's deep learning principles and platform course assignments, which mainly use remote sensing image datasets to achieve classification, colorization and super-resolution.

hanyoseob /youtube-cnn-004-pytorch-resnet

[CNN PROGRAMMING] 004 - Residual Network

IMvision12 /Image-Super-Resolution

Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper

fangvv /CDNSR

Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"

noNScop /Super-Resolution

This repository contains implementations, training routines, and evaluation scripts for various Single Image Super-Resolution (SISR) models.

khangt1k25 /Super-Resolution-Image

SISR implementations

abdalmjeed1kh-arch /Satellite-SR-Optimized

Optimized SRResNet implementation for 4x satellite image super-resolution. Features Partial Convolution Padding (PCP) and Conditional Batch Normalization (CBN). Achieved 28.95 dB PSNR.

rafipatel /Image-Super-Resolution-using-GANs

PyTorch implementation of SRResNet and SRGAN for single image super-resolution. Includes training, evaluation, and utility scripts for generating high-resolution images from low-resolution inputs.

riverlight /ImageRestoration_CNN

使用 SR_ResNet 网络解决 去噪声和去压缩失真 问题，并完成MNN框架的移植

ash1ra /SRResNet

SRResNet (Super-Resolution Residual Network) model for SISR (Single Image Super-Resolution) task using PyTorch

VedantG-02 /pytorch-ImageBoost

Implementation and training of SRResNet and SRGAN models from scratch using PyTorch for image super-resolution.