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Research map / Image generation / Editing and style transfer

Marginal Contrastive Correspondence for Guided Image Generation

CVPR 2022 · Image generation › Editing and style transfer · approach: Image-to-image translation · 40 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add correspondence (COR) to SPADE (ablation)SPADE · CelebA-HQFID: 32.02 -> 15.77Helped
Add marginal contrastive loss (MCL) to COR (ablation)MCL-Net correspondence · CelebA-HQFID: 15.77 -> 12.75Helped
Add self-correlation map (SCM) to COR (ablation)MCL-Net correspondence · CelebA-HQFID: 15.77 -> 13.27Helped
Add both MCL and SCM to COR (ablation)MCL-Net correspondence · CelebA-HQFID: 15.77 -> 12.52Helped
Add MCL with increasing margin m from 0.1 to 0.4 (ablation)CoCosNet correspondence · DeepFashion warped exemplarsL1: 79.32 -> 75.27Helped
Add SCM to CoCosNet correspondence (ablation)CoCosNet correspondence · DeepFashion warped exemplarsL1: 80.14 -> 76.07Helped
Combine MCL (m=0.4) and SCM (ablation)CoCosNet correspondence · DeepFashion warped exemplarsL1: 80.14 -> 73.72Helped
Use a large MCL margin such as m=0.5 (ablation)MCL-Net · DeepFashionconvergenceHurt
Use MCL-Net instead of CoCosNet v2Image translation · CelebA-HQFID: 12.85 -> 12.52Helped
Use MCL-Net instead of CoCosNet v2Image translation · DeepFashionSWD: 16.53 -> 16.24Helped
Use MCL-Net instead of CoCosNet v2Image translation · ADE20KLPIPS: 0.564 -> 0.569; UNITE: 0.571Hurt

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