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RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion

CVPR 2022 · Image generation › Image restoration · approach: Image harmonization and color transformation · 184 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use RFNet coarse registration instead of NTGMulti-modal image registration · 45 unaligned VIS/NIR pairsRMSE: 9.942±23.807 -> 3.972±4.064Helped
Use RFNet coarse registration instead of NTGMulti-modal image registration · 45 unaligned VIS/NIR pairsMAE: 18.221±42.164 -> 5.209±2.079Helped
Use RFNet coarse registration instead of NTGMulti-modal image registration · 45 unaligned VIS/NIR pairsMEE: 13.430±35.279 -> 3.475±3.336Helped
Use RFNet coarse registration instead of DASCMulti-modal image registration · 45 unaligned VIS/NIR pairsSSIM: 0.726±0.064 -> 0.650±0.102Hurt
Use RFNet coarse registration instead of DASCMulti-modal image registration · 45 unaligned VIS/NIR pairsPSNR: 17.582±3.052 -> 15.043±1.073Hurt
Use RFNet instead of U2FusionMulti-modal image fusion · 35 selected VIS/NIR pairsAG: 8.862±2.206 -> 10.217±2.516Helped
Use RFNet instead of IFCNNMulti-modal image fusion · 35 selected VIS/NIR pairsEN: 7.290±0.295 -> 7.325±0.288Helped
Use RFNet instead of U2FusionMulti-modal image fusion · 35 selected VIS/NIR pairsSTD: 9.792±0.858 -> 10.064±0.877Helped
Use RFNet instead of MDLatLRRMulti-modal image fusion · 35 selected VIS/NIR pairsPSNR: 66.269±2.334 -> 66.363±2.150Helped
Translate images to a shared domain before coarse registration (ablation)RFNet coarse registration · VIS/NIR registrationregistration performance evaluated by NCCHelped
Use image-level inputs instead of sparse SCB descriptors (ablation)RFNet coarse registration · VIS/NIR registrationregistration performance evaluated by NCCHelped
Replace deformable convolution with traditional convolution (ablation)RFNet coarse registration · VIS/NIR registrationregistration stabilityHurt

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