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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Msrn PytorchThis repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
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PsfrganPyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"
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Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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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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DANThis is an official implementation of Unfolding the Alternating Optimization for Blind 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 …
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Pytorch ZssrPyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
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KaolinA PyTorch Library for Accelerating 3D Deep Learning Research
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WaifuLiteSuper Resolution for Anime image, lightweight implementation
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Zoom Learn Zoomcomputational zoom from raw sensor data
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picassoA collection of tools for painting super-resolution images
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RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
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MSG-NetDepth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
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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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libsrcnnSuper-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.
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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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GpufitGPU-accelerated Levenberg-Marquardt curve fitting in CUDA
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tf-perceptual-eusrA TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
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TEGANGenerative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
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Waifu2xPyTorch on Super Resolution
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Nanodet⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
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WLNet-ModelZooNo description or website provided.
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EGVSREfficient & Generic Video Super-Resolution
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SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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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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Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
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FISROfficial repository of FISR (AAAI 2020).
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Pytorch LapsrnPytorch implementation for LapSRN (CVPR2017)
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MLSRSource code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
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IgnnCode repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
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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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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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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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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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Anime4kA High-Quality Real Time Upscaler for Anime Video
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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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MzsrMeta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
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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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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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sparse-deconv-pyOfficial Python implementation of the 'Sparse deconvolution'-v0.3.0
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DpirPlug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)
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Magpie将任何窗口放大至全屏
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TenetOfficial Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution
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FBMulti-frame super-resolution via sub-pixel.
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MmeditingOpenMMLab Image and Video Editing Toolbox
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SRCNN-PyTorchPytorch framework can easily implement srcnn algorithm with excellent performance
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EduCDMThe Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM) and Item Response Ranking framework (IRR).
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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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NRSRNeighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)
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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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