wzzydezy

wzzydezy's Stars

• rosedblabs/rosedb

  Lightweight, fast and reliable key/value storage engine based on Bitcask.

  Language:Go4.5k616

• jiayi-ma/FusionGAN

  FusionGAN: A generative adversarial network for infrared and visible image fusion

  Language:Python22756

• StaRainJ/ResNetFusion

  The code of "Infrared and visible image fusion via detail preserving adversarial learning"

  Language:Python3319

• qinguoyi/TinyWebServer

  :fire: Linux下C++轻量级WebServer服务器

  Language:C++15.9k3.8k

• Redaimao/DRPL

  implementation of DRPL: Deep Regression Pair Learning forMulti-Focus Image Fusion

  Language:Python185

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.8k520

• berk95kaya/Spectral-Estimation

  Towards Spectral Estimation from a Single RGB Image in the Wild

  Language:Python10

• zhaoyuzhi/Hierarchical-Regression-Network-for-Spectral-Reconstruction-from-RGB-Images

  CVPR NTIRE 2020 Spectral Reconstruction Challenge 1st Place Paper

  Language:Jupyter Notebook7525

• gistairc/HS-SOD

  HyperSpectral Salient Object Detection Dataset

  5313

• KAIST-VCLAB/deepcassi

  [SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior

  Language:Python5820

• junjun-jiang/Hyperspectral-Image-Super-Resolution-Benchmark

  A list of hyperspectral image super-solution resources collected by Junjun Jiang

  428118

• mhaut/HSI-datasets

  Hyperspectral Remote Sensing Scenes

  Language:Python4811

• gihanjayatilaka/Hyperspectral-Imagery

  Developing a classification algorithm for (HSI) Hyper-spectral image datasets.

  Language:Python165

• Deep-imagelab/AWAN

  Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images in CVPRW 2020 (Winner of NTIRE Challenge, Oral)

  Language:Python6219

• songxujay/MSDNet-for-Medical-Image-Fusion

  ICIG2019

  Language:Python151

• PanPapag/Zero-Learning-Fast-Medical-Image-Fusion

  A real-time image fusion method using pre-trained neural networks

  Language:Python408

• jtguan/MADCNN

  The testing code for the Paper "Multi-scale Visual Attention Deep Convolutional Neural Network for Multi-focus Image Fusion" IEEE Access,2019

  Language:Python122

• hanna-xu/GCF

  Code of GCF: A Deep Model for Multi-Focus Image Fusion Based on Gradients and Connected Regions

  Language:Python92

• Keep-Passion/SESF-Fuse

  SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

  Language:Python7124

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python3.9k693

• mostafaaminnaji/ECNN

  Ensemble of CNN for multi-focus image fusion

  Language:Jupyter Notebook214

• yulu0724/EmbeddingDistillation

  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)

  Language:Python7615

• Paper99/SRFBN_CVPR19

  Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

  Language:Python550126

• funboarder13920/image-fusion-guided-filtering

  Language:Matlab122

• qingli7/CS_HelloWorld

  CS HelloWorld

  Language:Matlab1

• noonelikechu/image-fusion-evalution

  Language:Matlab1

• xytmhy/Evaluation-Metrics-for-Image-Fusion

  Four evaluation metrics widely used in multi-focus image fusion (MATLAB).

  Language:MATLAB173

• smart-media-lab/Multi-focus-image-fusion-using-a-bilateral-gradient-based-sharpness-criterion

  Language:Matlab5

• zzzzwj/SRNTT_Pytorch

  Reimplementation of paper "Image Super-Resolution by Neural Texture Transfer" in CVPR 2019 by pytorch.

  Language:Python122

• xinntao/ESRGAN

  ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

  Language:Python5.9k1k