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Research map / Image generation / Editing and style transfer

Unsupervised Person Image Generation With Semantic Parsing Transformation

CVPR 2019 · Image generation › Editing and style transfer · approach: Pose-guided person image synthesis · 138 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add semantic parsing guidance instead of generating without semantic maps (ablation)E2E person image generation · DeepFashionIS: 3.140 -> 3.441Helped
Add semantic parsing guidance instead of generating without semantic maps (ablation)E2E person image generation · Market-1501IS: 2.776 -> 3.499Helped
Train semantic transformation and appearance generation jointly end-to-end rather than independently with predicted maps (ablation)Person image generation · DeepFashionIS: 3.201 -> 3.441Helped
Train semantic transformation and appearance generation jointly end-to-end rather than independently with predicted maps (ablation)Person image generation · Market-1501IS: 3.462 -> 3.499Helped
Train semantic transformation and appearance generation jointly end-to-end rather than independently with predicted maps (ablation)Person image generation · Market-1501SSIM: 0.180 -> 0.203Helped
Train semantic transformation and appearance generation jointly rather than using two-stage ground-truth maps (ablation)Person image generation · DeepFashionIS: 3.350 -> 3.441Helped
Train semantic transformation and appearance generation jointly rather than using two-stage ground-truth maps (ablation)Person image generation · DeepFashionSSIM: 0.740 -> 0.736No clear effect
Replace semantic-aware style loss with mask-style loss (ablation)Appearance generation · Person image generationvisual qualityHurt
Replace semantic-aware style loss with patch-style loss (ablation)Appearance generation · Person image generationvisual qualityHurt
Remove face adversarial loss (ablation)Appearance generation · Person image generationface naturalnessHurt

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