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Tensorflow EspcnTensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network
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Supper ResolutionSuper-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
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DncnnBeyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
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Rdn TensorflowA TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".
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KairImage Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN
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PytoflowThe py version of toflow → https://github.com/anchen1011/toflow
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Srcnn TensorflowImage Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
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Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
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ScnScale-wise Convolution for Image Restoration
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AdafmCVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
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SrflowOfficial SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
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SeranetSuper Resolution of picture images using deep learning
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Scn matlabMatlab reimplementation of SCNSR
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RaisrA Python implementation of RAISR
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VideosuperresolutionA collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
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EdafaTest Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
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Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
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Pan[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.
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Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
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NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
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Super Resolution cnn Implementation of 'Image Super-Resolution using Deep Convolutional Network'
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MmeditingOpenMMLab Image and Video Editing Toolbox
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Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
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DpsrDeep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
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3puPatch-base progressive 3D Point Set Upsampling
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SrganA PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
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Wdsr ntire2018Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018
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BasicsrOpen 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.
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Ntire2017Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
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CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
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UsrnetDeep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
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UpscalerjsImage Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.
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FrvsrFrame-Recurrent Video Super-Resolution (official repository)
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DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
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