InkZhang

InkZhang's Stars

• tamarott/SinGAN

  Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  Language:Python3.3k610

• ngcthuong/Reproducible-Deep-Compressive-Sensing

  Collection of reproducible deep learning for compressive sensing

  637154

• nikcleju/pyCSalgos

  Python Compressed Sensing algorithms

  Language:HTML6525

• indigits/sparse-plex

  A MATLAB library for sparse representation problems

  Language:MATLAB9746

• garythung/trashnet

  Dataset of images of trash; Torch-based CNN for garbage image classification

  Language:Lua563178

• Horea94/Fruit-Images-Dataset

  Fruits-360: A dataset of images containing fruits and vegetables

  Language:Jupyter Notebook656362

• ailib/FS-GAN

  Single Image De-raining with Feature-Supervised Generative Adversarial Network

  Language:Python83

• WANG-Chaoyue/PAN

  Perceptual Adversarial Networks (PAN) for Image-to-Image Transformation

  Language:Python165

• jtguan/Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal

  A deep learning approach for stripe noise removal

  Language:Python4716

• KupynOrest/DeblurGAN

  Image Deblurring using Generative Adversarial Networks

  Language:Python2.5k516

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.1k5.4k

• YapengTian/Single-Image-Super-Resolution

  A collection of high-impact and state-of-the-art SR methods

  1.8k374

• jbhuang0604/SelfExSR

  Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

  Language:Matlab599270

• BIDS/BSDS500

  Mirror of the Berkeley Segmentation Data Set

  Language:C++6824

• wzhshi/MS-CSNet

  A multi-scale version of CSNet (called MS-CSNet) will be published in ICIP2018. The code is coming soon ...

  2

• ngcthuong/CSNet

  Reimplementation of CSNet (Deep network for compressed image sensing, ICME17)

  Language:MATLAB1310

• wzhshi/CSNet

  This is the test demo for "Deep networks for compressed image sensing." (ICME2017) Author: Wuzhen Shi Email: wzhshi@hit.edu.cn

  Language:Cuda165

• openpifpaf/openpifpafwebdemo

  Web browser based demo of OpenPifPaf.

  Language:Python9517

• amusi/TensorFlow-From-Zero-To-One

  TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

  Language:Jupyter Notebook1.1k334

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.4k2.3k

• Zheng222/IDN-Caffe

  Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

  Language:MATLAB11725