{"repo":"Zhaozixiang1228/MMIF-CDDFuse","free":true,"listed":false,"github":"https://github.com/Zhaozixiang1228/MMIF-CDDFuse","clone":"git clone https://github.com/Zhaozixiang1228/MMIF-CDDFuse.git","description":"[CVPR 2023] Official implementation for \"CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion.\"","language":"Python","stars":636,"topics":["image-fusion","image-processing","low-level-vision"],"license":null,"category":"media-processing","readme_excerpt":"CDDFuse Codes for CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. (CVPR 2023) Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte and Luc Van Gool. -[ [Project Page] ](https://zhaozixiang1228.github.io/Project/CDDFuse/) -[ [Paper] ](https://openaccess.thecvf.com/content/CVPR2023/html/Zhao CDDFuse Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion CVPR 2023 paper.html) -[ [ArXiv] ](https://arxiv.org/abs/2104.06977) -[ [Supplementary Materials] ](https://openaccess.thecvf.com/content/CVPR2023/supplemental/Zhao CDDFuse Correlation-Driven Dual-Branch CVPR 2023 supplemental.pdf) Update - [2023/6] Training codes and config files are public available. - [2023/4] Release inference code for infrared-visible image fusion and medical image fusion. Citation Abstract Multi-modality (MM) image fusion aims to render fused images that maintain the merits of different modalities, e.g., functional highlight and detailed textures. To tackle the challenge in modeling cross-modality features and decomposing desirable modality-specific and modality-shared features, we propose a novel Correlation-Driven feature Decomposition Fusion (CDDFuse) network. Firstly, CDDFuse uses Restormer blocks to extract cross-modality shallow features. We then introduce a dual-branch Transformer-CNN feature extractor with Lite Transformer (LT) blocks leveraging long-range attention to handle low-frequen","default_branch":null,"files":null,"tree":[],"storefront":"/r/Zhaozixiang1228","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Zhaozixiang1228/MMIF-CDDFuse/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}