SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Highres NetPytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
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bLUe PYSIDEbLUe - A simple and comprehensive image editor featuring automatic contrast enhancement, color correction, 3D LUT creation, raw postprocessing, exposure fusion and noise reduction
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Magpie将任何窗口放大至全屏
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DANThis is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
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Pytorch LapsrnPytorch implementation for LapSRN (CVPR2017)
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EmiyaEngine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。
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Anime4kA High-Quality Real Time Upscaler for Anime Video
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tensorflow-bicubic-downsampletf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
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ESPCN-PyTorchA PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.
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DpirPlug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)
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picassoA collection of tools for painting super-resolution images
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SRCNN-PyTorchPytorch framework can easily implement srcnn algorithm with excellent performance
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SR FrameworkA generic framework which implements some famouts super-resolution models
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Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
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tf-perceptual-eusrA TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
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IgnnCode repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
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ECBSREdge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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MzsrMeta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
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libsrcnnSuper-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.
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MLSRSource code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
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CSSRCrack 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.
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Waifu2xPyTorch on Super Resolution
Stars: ✭ 156 (+183.64%)
EGVSREfficient & Generic Video Super-Resolution
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Jalali-Lab-Implementation-of-RAISRImplementation 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 …
Stars: ✭ 118 (+114.55%)
tf-bsrn-srOfficial implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow
Stars: ✭ 28 (-49.09%)
TEGANGenerative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
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ImSwitchImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.
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Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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Psychic-CCTVA video analysis tool built completely in python.
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Zoom Learn Zoomcomputational zoom from raw sensor data
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LFSSR-SAS-PyTorchRepository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018
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Msrn PytorchThis repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
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TC-YoukuVSRE天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码,EDVR、WDSR、ESRGAN三个模型。
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RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
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FBMulti-frame super-resolution via sub-pixel.
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PaddleganPaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
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Super-Resolution-Meta-Attention-NetworksOpen source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.
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Deep Iterative CollaborationPytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
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Single-Image-Example-Based-Super-ResolutionSingle image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.
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PsfrganPyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"
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FISROfficial repository of FISR (AAAI 2020).
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WaveletsrnetA pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
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WaifuLiteSuper Resolution for Anime image, lightweight implementation
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Pytorch ZssrPyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
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PNG-UpscaleAI Super - Resolution
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GpufitGPU-accelerated Levenberg-Marquardt curve fitting in CUDA
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pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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sparse-deconv-pyOfficial Python implementation of the 'Sparse deconvolution'-v0.3.0
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MSG-NetDepth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
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Super resolution SurveyA survey of recent application of deep learning on super-resolution tasks
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EDVR KerasKeras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
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SRGAN-PyTorchAn Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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NRSRNeighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)
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