Topic: superresolution Goto Github
Some thing interesting about superresolution
Some thing interesting about superresolution
superresolution,A Deep Learning Model for denoising and super-resoution of CT scans. Neruroengineering Project Workshop @ Politecnico di Milano, 2021
User: alberto-rota
superresolution,PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
User: aniketmaurya
Home Page: http://aniketmaurya.com/ml-resources
superresolution,Image Enhancement, Contrast, Illumination, Saturation Adjustment and Noise Reduction and Upscaling with GANs.
User: asianzeus
superresolution,百度智能云iOS播放器SDK
Organization: baidubce
Home Page: https://cloud.baidu.com/doc/VideoCreatingSDK/s/aldwi57qz
superresolution,Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs? (Python3 version)
User: basiralab
superresolution,L2S-KDNet for super-resolving brain graphs using teacher-student network
User: basiralab
superresolution,Superresolution visualization of 3D protein localization data from a range of microscopes
User: bencardoen
superresolution,A Julia package to detect contacts below the precision of a superresolution microscope between 2 subcellular organelles in 2-channel superresolution (STED) microscopy.
User: bencardoen
superresolution,Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
User: benjaminjonghyun
superresolution,Implementate super resolution in deep learning
User: bobliu20
superresolution,
User: brunoklein99
superresolution,2019 PPCA course project - Anime Super-Resolution
User: cla7aye15i4nd
superresolution,Super Resolution datasets and models in Pytorch
User: coloquinte
superresolution,Pytorch Super Resolution
User: dendisuhubdy
superresolution,TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
User: dongheehand
superresolution,Pixel x4 is a image super-resolution deep learning algorithm. It uses both the deep convolutional GANs for generating realistic images and the distance based loss function for creating visually similar images.
User: g0kul
superresolution,
User: git-h2k
superresolution,Waifu2x on Google Cloud Run
User: gladkikhartem
superresolution,
User: harpreetk1896
superresolution,Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
User: hi-king
Home Page: http://hi-king.hatenablog.com/entry/2016/12/18/094146
superresolution,Waifu2x-ios port to macOS, still in Core ML and Metal
User: imxieyi
superresolution,Super Resolution by Chainer
User: irasin
superresolution,TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
User: jangsoopark
superresolution,TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
User: jangsoopark
superresolution,
User: kalyankumarpichuka
superresolution,Convolution NN resize initialization for subpixel convolutions
User: kostyaev
superresolution,Super Resolution of low resolution Images in PyTorch
User: kumar-shridhar
superresolution,Tensorflow with Image Super-Resolution Using Dense Skip Connections , color
User: kweisamx
superresolution,Simple superresolution with autoencoder-like model
User: kzkadc
superresolution,A 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"
User: leftthomas
superresolution,This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.
User: mingtaoguo
superresolution,SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
User: mingtaoguo
superresolution,2020-1학기 모바일프로그래밍 TermProject
Organization: mp-termproject
superresolution,Image Super Resolution by SRCNN
User: nikinsta
superresolution,MoePhoto Image Toolbox萌图工具箱
User: opteroncx
superresolution,In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.
User: rajatdv
superresolution,Implementation of paper Deep Back Projection Network paper
User: rajatkb
superresolution,Super resolution using a CNN, based on the work of the DGtal team
User: romainthd
superresolution,A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
User: sanghyun-son
superresolution,Sensifai image and video enhancement module on mobiles
User: sensifai
superresolution,A Julia package to detect contacts below the precision of a superresolution microscope between 2 subcellular organelles in 2-channel superresolution (STED) microscopy. Mirror of https://github.com/bencardoen/SubPrecisionContactDetection.jl
Organization: sfu-mial
Home Page: https://github.com/bencardoen/SubPrecisionContactDetection.jl
superresolution,图像超分辨率论文集锦/A paper list of Image Super-Resolution.
User: tangjian2344
Home Page: https://github.com/Tangjian2344/Image-Super-Resolution/tree/master
superresolution,Single Image Super-Resolution using deep learning
User: tomasmikeska
superresolution,Implementation of Super Resolution GAN for CSE674
User: vedvalsangkar
superresolution,[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
User: wgcban
Home Page: https://www.wgcban.com/research#h.ahv4enb6ueco
superresolution,Code for ResCSNet
User: y0umu
superresolution,Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
User: yiyang7
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