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Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

NeurIPS 2018 · Image generation › Editing and style transfer · approach: Pose-guided person image synthesis · 39 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add pose-guided parsing (ablation)Warping-GAN · DeepFashionSSIM: 0.692 -> 0.793Helped
add pose-guided parsing (ablation)Warping-GAN · Market-1501SSIM: 0.236 -> 0.356Helped
add soft-gated warping-block (ablation)Warping-GAN · DeepFashionSSIM: 0.777 -> 0.793Helped
add soft-gated warping-block (ablation)Warping-GAN · Market-1501SSIM: 0.337 -> 0.356Helped
add adversarial loss (ablation)Warping-GAN · DeepFashionSSIM: 0.780 -> 0.793Helped
add perceptual loss (ablation)Warping-GAN · DeepFashionSSIM: 0.772 -> 0.793Helped
add pixel loss (ablation)Warping-GAN · Market-1501SSIM: 0.337 -> 0.356Helped
add pyramidal hierarchy loss (ablation)Warping-GAN · Market-1501SSIM: 0.337 -> 0.356Helped
use full Warping-GAN instead of AUNETpose-guided person synthesis · DeepFashionSSIM: 0.786 -> 0.793Helped
use full Warping-GAN instead of AUNETpose-guided person synthesis · Market-1501SSIM: 0.353 -> 0.356Helped

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