Medical image registration using deep learning

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

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

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

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

A Fast Algorithm for Material Image Sequential Stitching

The STARFM fusion model for Python

[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

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

Image fusion based on deepfuse network - Tensorflow (based on ICCV2017: deepfuse), Unofficial

[IEEE TIP 2022] Official implementation of MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

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

SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

采用CNN将高分辨率灰度图像和低分辨率彩色图像合成为高分辨率彩色图像的图像融合算法

Unofficial Pytorch implementation of U2Fusion (2021 TPAMI)

[IEEE TCSVT 2023] Official implementation of DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer

An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion

[CVPR'23] Probability-based Global Cross-modal Upsampling for Pansharpening

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

A toolbox for HSI-MSI fusion/pan-sharpening, including MoGDCN, Fusformer, PSRT, MSST, DCTransformer, iDaFormer, HySure, HyMS, DBSR, UDALN,uHNTC, PSTUN, UTAL, CaFormer and pretrained weights