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GAN网络相关
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notion_CN
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学习工具卷积神经网络(CNN)模型结构可视化工具
卷积神经网络(CNN)模型结构可视化工具Starred repositories
Official code of multimodal feature RedFeat: Recoupling detection and description for multimodal feature learning (TIP2023)
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
deep learning for image processing including classification and object-detection etc.
[IEEE TCSVT2024] Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration
The python code implementation of the paper "A Principle Design of Registration-Fusion Consistency: Towards Interpretable Deep Fusion for Unregistered Hyperspectral Image" (TNNLS 2024)
Unsupervised fusion of misaligned PAT and MRI images via mutually reinforcing cross-modality image generation and registration
[IEEE TIP 2022] Official implementation of MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer
an image registration/augmentation/segmentation package
CBF,CVT,DTCWT,GTF,LP,MSVD,RP,Wavelet,CNN,Deepfuse,DenseFuse,FusionGAN,IFCNN,MDlatLRR,DDcGAN,ResNetFusion,NestFuse,NVCE,FusionDN,HybridMSD,PMGI,IFEVIP,StructAware,U2Fusion,MEF-GAN,JSR,ConvSR,DCHWT,M…
IEEE TNNLS | GeSeNet: A General Semantic-guided Network with Couple Mask Ensemble for Medical Image Fusion
Official Pytorch Codebase for Image-Fusion-Transformer
Havard Medical Image Fusion Datasets CT-MRI PET-MRI SPECT-MRI
Repository for stitching multiple images to produce a panorama. Part of cousework of Computer Vision course at WPI.
All deep learning-based infrared and visible image fusion algorithms in a whole framework
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Pytorch implementation of Unsupervised Deep Homography.
This is the official repo for the CVPR 2021 IMW paper: "Perceptual Loss for Robust Unsupervised Homography Estimation"
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
"LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion" is accepted by ICIG 2023.