AutoFuse：Degradation-Resistant Infrared-Visible Image Fusion with Auto-Generated Textual Objectives and Embedded Contrastive Learning

Usage

1. Create Environment

• create conda environment

conda create -n AutoFuse python=3.9.12
conda activate AutoFuse

• Install Dependencies

pip install -r requirements.txt

(recommended cuda11.1 and torch 1.8.2)

2. Data Preparation and Running

Please put test data into the test_imgs directory

(infrared images in ir subfolder, visible images in vi subfolder)

Run python src/test_sr.py

The fused results will be saved in the ./results/ folder

Examples

From left to right are the infrared image, visible image, and fused image.

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