Image Fusion on AWMM-100k real-world scenarios
0.7234QMI (Quality Metric for Image Fusion)AMG-Fuse
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| AMG-FusePub.=-2026.06 | 0.7234 | 0.5114 | 1.1022 | 0.4373 | 0.4786 | 0.5202 | 0.5957 | |
| EMMAPub.=CVPR 242026.06 | 0.5497 | 0.3884 | 0.8056 | 0.3264 | 0.447 | 0.4342 | 0.5301 | |
| LRRNetPub.=PAMI 232026.06 | 0.5429 | 0.3944 | 0.917 | 0.4079 | 0.4694 | 0.4174 | 0.4773 | |
| Text-IFPub.=CVPR 242026.06 | 0.5258 | 0.5748 | 1.0852 | 0.3566 | 0.4936 | 0.4972 | 0.68 | |
| SAGEPub.=CVPR 252026.06 | 0.52 | 0.4786 | 1.0538 | 0.3647 | 0.4298 | 0.4816 | 0.5314 | |
| Text-DiFusePub.=NeurIPS 242026.06 | 0.5174 | 0.3325 | 0.9384 | 0.385 | 0.4108 | 0.3848 | 0.4657 | |
| GIFNetPub.=CVPR 252026.06 | 0.5085 | 0.3673 | 0.8833 | 0.3021 | 0.425 | 0.4489 | 0.4605 | |
| AWFusionPub.=INFFus 262026.06 | 0.5032 | 0.4547 | 1.0028 | 0.3523 | 0.4649 | 0.5036 | 0.586 |