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Research map / Image generation / Editing and style transfer

Controllable Person Image Synthesis With Attribute-Decomposed GAN

CVPR 2020 · Image generation › Editing and style transfer · approach: Pose-guided person image synthesis · 269 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Attribute-Decomposed GAN instead of PATNPerson image pose transfer · DeepFashion testIS: 3.209 -> 3.364Helped
Use Attribute-Decomposed GAN instead of PATNPerson image pose transfer · DeepFashion testSSIM: 0.774 -> 0.772Hurt
Use Attribute-Decomposed GAN instead of PATNPerson image pose transfer · DeepFashion testDS: 0.976 -> 0.984Helped
Use Attribute-Decomposed GAN instead of PATNPerson image pose transfer · DeepFashion testCX-GS: 2.628 -> 2.474Helped
Use Attribute-Decomposed GAN instead of PATNPerson image pose transfer · DeepFashion testCX-GT: 2.604 -> 2.474Helped
Add decomposed component encoding (DCE) with parser-derived component layouts (ablation)Attribute-Decomposed GAN · Person image synthesisVisual quality and training convergenceHelped
Add global texture encoding (GTE), combining fixed VGG features with a learnable encoder (ablation)Attribute-Decomposed GAN · Person image synthesisTexture fidelityHelped
Add the fusion module (FM) to style blocks alongside DCE (ablation)Attribute-Decomposed GAN · Person image synthesisVisual qualityHelped
Add contextual loss (ablation)Attribute-Decomposed GAN · Person image synthesisDetail preservationHelped

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