jijingdeyi

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Text-IF

Official Code of Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion (CVPR2024)

TC-MoA

Task-Customized Mixture of Adapters for General Image Fusion (CVPR 2024)

diffusion

Denoising Diffusion Probabilistic Models

Image-Fusion

Deep Learning-based Image Fusion: A Survey

Dif-Fusion

Codes for the Dif-Fusion model

guided-diffusion

SegMiF

ICCV2023 | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

MUFusion

(2023' Information Fusion) This is the official implementation for the paper titled "MUFusion: A general unsupervised image fusion network based on memory unit".

MMIF-DDFM

[ICCV 2023 Oral] Official implementation for "DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion."

IVIF-DIDFuse

[IJCAI 2020] Official implementation for "DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion"

PMGI_AAAI2020

Code of paper Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity

SwinFusion

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

PIAFusion

This is official tensorflow implementation of “PIAFusion: A Progressive Infrared and Visible Image Fusion Network Based on Illumination Aware”

MetaFusion

imagefusion-LRRNet

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

DIVFusion

DIVFusion: Darkness-free infrared and visible image fusion

imagefusion_densefuse

DenseFuse (IEEE TIP 2019, Highly Cited Paper) - Python 3.6, TensorFlow 1.8.0

densefuse-pytorch

DenseFuse (TIP2019) - Pytorch 0.4.1

MMIF-CDDFuse

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

imagefusion-rfn-nest

RFN-Nest(Information Fusion, 2021, Highly Cited Paper) - PyTorch =1.5，Python=3.7

TarDAL

CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

DDcGAN

DDcGAN: A Dual-discriminator Conditional Generative Adversarial Network for Multi-resolution Image Fusion / Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators

U2Fusion

Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal, multi-exposure and multi-focus image fusion.

ReCoNet

ECCV 2022 | Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion.

SDNet

Code of SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion.