Medical Image Fusion on Harvard dataset Blur degradation benchmark leaderboard · SOTA2 Research

Medical Image Fusion on Harvard dataset Blur degradation

0.6653Q_MIDDFM

Evaluation Results

Method	Links
DDFM2026.04		0.6653	0.8077	0.2507	0.169	0.581	0.6208
VDMUFusion2026.04		0.6517	0.8079	0.2138	0.145	0.4642	0.5825
U2Fusion2026.04		0.6505	0.8074	0.2373	0.1523	0.3587	0.576
IFCNN2026.04		0.6472	0.8073	0.2692	0.1613	0.5891	0.6752
DRFusion2026.04		0.6469	0.8077	0.3855	0.2016	0.6281	0.7885
MURF2026.04		0.6061	0.8072	0.3003	0.1273	0.3615	0.6936
Mask-DiFuser2026.04		0.5998	0.8076	0.2914	0.1621	0.3029	0.6591
RFfusion2026.04		0.5831	0.8075	0.1917	0.1182	0.592	0.413
Text-DiFuse2026.04		0.5547	0.8073	0.2839	0.1215	0.3256	0.582