Alternatives and similar repositories for Image-Super-Resolution-VS:

Users that are interested in Image-Super-Resolution-VS are comparing it to the libraries listed below

• luzhixing12345 / image-super-resolution
  图像超分辨率
  ☆77Updated 2 years ago
• atomicoo / EnhanceIMG
  Image-enhancement algorithms: low-light enhancement, image restoration, super-resolution reconstruction. 图像增强算法探索：低光增强、图像修复、超分辨率重建 ……
  ☆180Updated 3 years ago
• misads / cv_template
  一个图像复原或分割的统一框架，可以用于去雾🌫、去雨🌧、去模糊、夜景🌃复原、超分辨率👾、像素级分割等等。
  ☆153Updated 4 years ago
• ONlyhsy / SRCNN
  基于深度学习卷积网络和Pytorch库实现的超分辨率图像重建
  ☆25Updated 4 years ago
• QHXRPG / Simple-SRGAN
  基于生成对抗网络的图像超分辨率重建的简单代码实现
  ☆13Updated 2 years ago
• 1990571096 / SRCNN_Pytorch
  CSDN博客代码讲解地址：https://blog.csdn.net/weixin_52261094/article/details/128389448
  ☆32Updated 2 years ago
• zhangxiao339 / DeNoise-tensorflow
  图像增强与去噪
  ☆55Updated 4 years ago
• tedqin / GAN-ImageRepairing
  基于深度生成对抗网络gan的图像修复模型
  ☆74Updated 5 years ago
• taoshiqian / image_HDR_python
  图像HDR，主要用于暗光照的增强，python实现
  ☆84Updated 6 years ago
• sexjun / Low-light-enhancement
  毕业课题：低光照图像增强,光照不均匀图像增强处理系统设计与实现
  ☆48Updated 5 months ago
• WilburD / FaceEnhance
  本科毕业设计-基于深度学习的模糊人脸图像增强系统的设计与实现
  ☆7Updated 7 years ago
• fuyongXu / SRCNN_Pytorch_1.0
  The implemention of SRCNN by pytorch1.0
  ☆66Updated 5 years ago
• Wu-didi / dehaze-enhance-qt
  对图像进行增强，涉及到图像去雾、低光照、不均匀光照的增强，并用qt写了界面
  ☆22Updated 2 years ago
• GorgeousYUROU / DCGAN-inpainting
  图像修复 python tensorflow DCGAN
  ☆54Updated 5 years ago
• yjn870 / FSRCNN-pytorch
  PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)
  ☆242Updated 3 years ago
• TianLin0509 / Easiest-SRGAN-demo
  最简单的基于SRGAN网络的实现， 附带已训练好的模型及GIF生成代码， 更适合作为Demo展示
  ☆80Updated 6 years ago
• dadaxian / ImageProcess_QtPy5
  配合QtPyt5,使用python完成图像的增强、复原、压缩、去噪、识别、分割、特征提取、识别、跟踪等功能
  ☆24Updated 4 years ago
• anhenghuang / dehaze
  实现暗通道去雾算法 Realizing 'Single Image Haze Removal Using Dark Channel Prior'
  ☆144Updated 8 years ago
• yjn870 / SRDenseNet-pytorch
  PyTorch implementation of Image Super-Resolution Using Dense Skip Connections (ICCV 2017)
  ☆23Updated 6 years ago
• murufeng / FUIR
  A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restorm…
  ☆317Updated 2 years ago
• aasharma90 / RetinexNet_PyTorch
  Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18
  ☆221Updated 5 years ago
• pfchai / Haze-Removal
  基于暗通道先验的图像去雾的Python实现
  ☆83Updated 8 years ago
• yjn870 / RDN-pytorch
  PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)
  ☆130Updated 4 years ago
• WakakaJu / Computer-Vision
  计算机视觉入门项目，包含图像分割、图像增强等图像处理算法的代码复现
  ☆56Updated 2 years ago
• TwoTu / MF-LIME
  基于Retinex模型和多尺度融合的低光照图像增强技术 Low-light image enhancement technology based on Retinex model and multi-scale fusion
  ☆92Updated 2 years ago
• ziyu-n / DCGAN-image-repairing
  深度学习，dcgan网络，图像修复
  ☆40Updated 4 years ago
• yuhufei / ImageRestorationBasedGAN-Keras
  在配对数据集前提下，可以进行图像去噪，修补，去水印，去马赛克，图像增强等操作。
  ☆39Updated 4 years ago
• wmylxmj / Anime-Super-Resolution
  动漫图片超分辨率（SISR）——基于WDSR (2019-4-30)
  ☆144Updated 4 years ago
• yjn870 / SRCNN-pytorch
  PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
  ☆594Updated 6 years ago
• Culaccino-matpy / DnCNN
  本项目为做毕设之前学习pytorch进行图像去噪处理的复现练习
  ☆12Updated 2 years ago