srzooSRZoo: An integrated repository for super-resolution using deep learning
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Trident-Dehazing-NetworkNTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.
Stars: ✭ 42 (-81%)
SMSR[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference
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LightFieldReconstructionHigh-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
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deepsumDeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
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CF-NetOfficial repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"
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Super resolution SurveyA survey of recent application of deep learning on super-resolution tasks
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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’.
Stars: ✭ 17 (-92.31%)
EDVR KerasKeras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Stars: ✭ 35 (-84.16%)
Psychic-CCTVA video analysis tool built completely in python.
Stars: ✭ 21 (-90.5%)
ECBSREdge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021
Stars: ✭ 216 (-2.26%)
PNG-UpscaleAI Super - Resolution
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SRGAN-PyTorchAn Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 52 (-76.47%)
tf-bsrn-srOfficial implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow
Stars: ✭ 28 (-87.33%)
SR FrameworkA generic framework which implements some famouts super-resolution models
Stars: ✭ 54 (-75.57%)
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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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。
Stars: ✭ 27 (-87.78%)
FISROfficial repository of FISR (AAAI 2020).
Stars: ✭ 72 (-67.42%)
libsrcnnSuper-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.
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sparse-deconv-pyOfficial Python implementation of the 'Sparse deconvolution'-v0.3.0
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NRSRNeighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)
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EGVSREfficient & Generic Video Super-Resolution
Stars: ✭ 774 (+250.23%)
picassoA collection of tools for painting super-resolution images
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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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DANThis is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
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LFSSR-SAS-PyTorchRepository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018
Stars: ✭ 22 (-90.05%)
tf-perceptual-eusrA TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
Stars: ✭ 44 (-80.09%)
FBMulti-frame super-resolution via sub-pixel.
Stars: ✭ 55 (-75.11%)
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.
Stars: ✭ 33 (-85.07%)
WaifuLiteSuper Resolution for Anime image, lightweight implementation
Stars: ✭ 20 (-90.95%)
tensorflow-bicubic-downsampletf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
Stars: ✭ 23 (-89.59%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-90.5%)
MLSRSource code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
Stars: ✭ 59 (-73.3%)
MSG-NetDepth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
Stars: ✭ 76 (-65.61%)
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.
Stars: ✭ 50 (-77.38%)
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.
Stars: ✭ 33 (-85.07%)
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 (-46.61%)
Magpie将任何窗口放大至全屏
Stars: ✭ 4,478 (+1926.24%)
TEGANGenerative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
Stars: ✭ 60 (-72.85%)
SRCNN-PyTorchPytorch framework can easily implement srcnn algorithm with excellent performance
Stars: ✭ 48 (-78.28%)
Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Stars: ✭ 3,293 (+1390.05%)
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (+1095.02%)
Zoom Learn Zoomcomputational zoom from raw sensor data
Stars: ✭ 224 (+1.36%)
Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
Stars: ✭ 222 (+0.45%)