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Unpaired Image-to-Image Translation With Shortest Path Regularization

CVPR 2023 · Image generation › Editing and style transfer · approach: Image-to-image translation · 48 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add path length regularization (Lpath) (ablation)shortest path unpaired translation · label→citymAP: 28.3 -> 31.0Helped
add path length regularization (Lpath) (ablation)shortest path unpaired translation · old→youngFID: 44.0 -> 41.9Helped
add path length regularization (Lpath) (ablation)interpolations on old→young · old→young interpolationinterpolation FID: 41.27 -> 28.62Helped
add reconstruction loss Lrec and KL loss on top of GAN+identity (ablation)shortest path unpaired translation · label→citymAP: 23.1 -> 26.0 -> 28.3Helped
replace path regularization with Euclidean cross-domain distance (ablation)shortest path unpaired translation · label→citymAP: 31.0 -> 29.5Hurt
replace path regularization with VGG cross-domain distance (ablation)shortest path unpaired translation · label→citymAP: 31.0 -> 22.8Hurt
use the proposed method (shortest path regularization) vs baselinesunpaired image translation · cat→dogFID: 46.1 vs 46.4 (SRC) and 48.5 (NEGCUT)Helped
use the proposed method vs baselinesunpaired image translation · horse→zebraFID: 52.1 vs 34.4 (SRC, best)Hurt
use the proposed method vs baselinesunpaired image translation · winter→summerFID: 70.9 vs 71.6 (SRC)Helped
add intermediate-domain path length regularization on multi-layer features instead of final-domain distance (ablation)shortest path unpaired translation · label→citymAP: 31.0 (full) vs 29.5 (Euclidean variant)Mixed

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