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Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation

CVPR 2022 · Image generation › Editing and style transfer · approach: Image-to-image translation · 26 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add maximum spatial perturbation consistency and spatial alignmentMSPC image translation · Cityscapes→ParsingpixAcc: 0.595 -> 0.740Helped
Add maximum spatial perturbation consistency and spatial alignmentMSPC image translation · Front Face→ProfileFID: 52.95 -> 37.01Helped
Add maximum spatial perturbation consistency and spatial alignmentMSPC image translation · Parsing→CityscapesmAP: 0.172 -> 0.156Hurt
Add maximum spatial perturbation consistency and spatial alignmentMSPC image translation · Aerial Photograph→MapRMSE: 32.70 -> 32.97Hurt
Vary perturbation scale from a=1 to a=3 (ablation)MSPC · Front Face→ProfileFID: 42.19 -> 37.01Helped
Increase perturbation scale from a=3 to a=5 (ablation)MSPC · Front Face→ProfileFID: 37.01 -> 38.72Hurt
Increase perturbation scale from a=5 to a=8 (ablation)MSPC · Front Face→ProfileFID: 38.72 -> 60.21Hurt
Use random spatial perturbation instead of learned maximum perturbation (ablation)MSPC · Front Face→ProfileFID: 37.01 -> 67.33Hurt
Add spatial alignment branch (ablation)MSPC · Front Face→ProfileFID: 53.41± 4.83 -> 38.61± 2.57Helped
Apply spatial transformation T to source and target distributions (ablation)Front Face→Profile data · Front Face→ProfileFID: 112.69 -> 65.81Helped
Combine translation and spatial alignment rather than translation alone (ablation)MSPC · Front Face→ProfileFID: 37.01 -> 30.85Helped

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