Xscaroline

Xscaroline's Stars

• saeed-anwar/RIDNet

  Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

  Language:Python33857

• wangqingbaidu/Dr.Sure

  🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。

  Language:Python421128

• JanSochman/TVdenoising

  Implementation of TV denoising algorithms from "A. Chambolle, T. Pock. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. Journal of Mathematical Imaging and Vision, 2011"

  Language:Matlab243

• HLearning/unet_keras

  unet_keras use image Semantic segmentation

  Language:Python31528

• leftthomas/ESPCN

  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"

  Language:Python515122

• juglab/VoidSeg_cluster

  Language:Jupyter Notebook2

• czbiohub-sf/noise2self

  A framework for blind denoising with self-supervision.

  Language:Jupyter Notebook33872

• CSBDeep/CSBDeep

  Image restoration for fluorescence microscopy

  Language:Python28482

• juglab/n2v

  This is the implementation of Noise2Void training.

  Language:Python408111

• martinkersner/py-img-seg-eval

  Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

  Language:Python28283

• rcouturier/ImageDenoisingwithDeepEncoderDecoder

  Image denoising with deep learning

  Language:Python93

• boahK/TIP_MumfordShahLoss

  Language:Python112

• hfslyc/AdvSemiSeg

  Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

  Language:Python504129

• twke18/Adaptive_Affinity_Fields

  Adaptive Affinity Fields for Semantic Segmentation

  Language:Python26262

• xiaoketongxue/AI-News

  Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)

  37576

• iNLyze/DeepLearning-SeGAN-Segmentation

  This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

  Language:Python10339

• jaeminSon/V-GAN

  Repository for V-GAN

  Language:Python3414

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• soulmachine/leetcode

  LeetCode题解，151道题完整版。

  Language:TeX11.3k3.4k

• titu1994/keras-squeeze-excite-network

  Implementation of Squeeze and Excitation Networks in Keras

  Language:Python400118

• YuanXue1993/SegAN

  SegAN: Semantic Segmentation with Adversarial Learning

  Language:Python18358

• keras-team/keras

  Deep Learning for humans

  Language:Python62k19.5k

• HPI-DeepLearning/MISS-GAN

  Medical Image Semantic Segmentation via Generative Adversarial Network

  Language:Python72

• deepak112/Keras-SRGAN

  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

  Language:Python276146

• tensorlayer/SRGAN

  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

  Language:Python3.3k813

• xinario/awesome-gan-for-medical-imaging

  Awesome GAN for Medical Imaging

  2.3k461

• HPI-DeepLearning/SV-GAN

  An Adversarial Neural Network for Simultaneous Brain Tumor segmentation and Prediction Survival Day

  Language:Python113

• valeoai/ADVENT

  Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

  Language:Python38270

• wenbihan/reproducible-image-denoising-state-of-the-art

  Collection of popular and reproducible image denoising works.

  2.4k507

• DmitryUlyanov/deep-image-prior

  Image restoration with neural networks but without learning.

  Language:Jupyter Notebook7.9k1.4k