[JSTSP 2025] "A Retinex Decomposition Model-Based Deep Framework for Infrared and Visible Image Fusion"

LRRNet (IEEE TPAMI 2023, Highly Cited Paper), Python 3.7, Pytorch >=1.8

EMS dataset: Enhanced Multi-Spectral Various Scenarios for Degradation-Aware Image Fusion

[INF FUS 2025] "A Degradation-Aware Guided Fusion Network for Infrared and Visible Image"

(2025' CVPR) This is the official code for the paper titled "One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion".

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

The code of "LFDT-Fusion: A Latent Feature-guided Diffusion Transformer Model for General Image Fusion"

Infrared and visible image fusion using deep learning framework (Pytorch)

[PR 2024] Official implementation of ITFuse: An Interactive Transformer for Infrared and Visible Image Fusion

Code for paper “FusionGCN: Multi-focus image fusion using superpixel features generation GCN and pixel-level feature reconstruction CNN”（ESWA, 2025）

This is official Pytorch implementation of "DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior" (ACM MM 24))

CrossFuse, Information Fusion 103(2024) 102147

Official implementation for “MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion.”

A visible-light and thermal-infrared images datasets for dual-spectrum depth estimation

XoFTR is a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images.

[Information Fusion 2023] An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

整理与红外可见光图像融合的相关期刊会议

Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption. A fire-new survey for infrared and visible image fusion.

[IJCNN 2024] Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model

All deep learning-based infrared and visible image fusion algorithms in a whole framework

[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."

This is official Pytorch implementation of "Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic …

This is official Pytorch implementation of "SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer"