# WaveFusion **Repository Path**: buptybx/WaveFusion ## Basic Information - **Project Name**: WaveFusion - **Description**: https://github.com/fd-qhwang/WaveFusion - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-02-03 - **Last Updated**: 2026-02-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # WaveFusion: A Novel Wavelet Vision Transformer with Saliency-Guided Enhancement for Multimodal Image Fusion Official **source code** for the paper WaveFusion in *IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025*. --- ## 🚀 Quick Start | Step | Command / Action | Notes | |------|------------------|-------| | **1. Clone** |
git clone https://github.com/fd-qhwang/WaveFusion.git
cd WaveFusion
| Requires Python ≥ 3.8 & PyTorch ≥ 1.12 | | **2. Install deps** |
pip install -r requirements.txt
| Tested on CUDA 12.x | | **3. Get data** | Download dataset from 🔗 [Baidu Drive](https://pan.baidu.com/s/1MXl6EoGrZOtEN_yn7qZunw) (code `q5yw`) | Unzip into `datasets/` | | **4. Train** |
bash bash/train.sh
| Edit `options/train/lwavfu.yaml` for paths / hyper-params | | **5. Test** |
bash bash/test.sh
| Edit `options/test/lwavfu.yaml`:
• `model_path`
• `data_root`
• `save_root` | --- ## 📈 Evaluation Metrics are computed using MATLAB scripts from [this repository](https://github.com/Linfeng-Tang/VIF-Benchmark). --- ## 🙏 Acknowledgements Our implementation borrows ideas or code from these excellent projects: | Repository | Link | |------------|------| | BasicSR | | | MLWNet | | | SwinFusion | | --- ## 📜 Citation ```bibtex @ARTICLE{wavefusion, author={Wang, Qinghua and Li, Ziwei and Zhang, Shuqi and Chi, Nan and Dai, Qionghai}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, title={WaveFusion: A Novel Wavelet Vision Transformer with Saliency-Guided Enhancement for Multimodal Image Fusion}, year={2025}, volume={}, number={}, pages={1-1}, doi={10.1109/TCSVT.2025.3549459}}