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Exploring Dual-Task Correlation for Pose Guided Person Image Generation

CVPR 2022 · Image generation › Editing and style transfer · approach: Pose-guided person image synthesis · 98 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use DPTN instead of the strongest listed baselinePose-guided person image generation · DeepFashionPSNR: 18.5867 -> 19.1492Helped
Use DPTN instead of the strongest listed baselinePose-guided person image generation · Market1501SSIM: 0.3139 -> 0.2854Hurt
Use DPTN instead of the strongest listed baselinePose-guided person image generation · Market1501PSNR: 14.4894 -> 14.5207Helped
Use DPTN instead of the strongest listed baselinePose-guided person image generation · Market1501LPIPS: 0.2777 -> 0.2711Helped
Add source-to-source learning (ablation)DPTN · DeepFashionPSNR: 18.8134 -> 19.1492Helped
Add the Pose Transformer Module (ablation)DPTN · DeepFashionLPIPS: 0.2195 -> 0.1957Helped
Add Context Augment Blocks (ablation)DPTN Pose Transformer Module · DeepFashionFID: 12.0932 -> 11.4664Helped
Add source texture encoder En_s (ablation)DPTN Pose Transformer Module · DeepFashionLPIPS: 0.1976 -> 0.1957Helped
Add source-to-source learning (ablation)Basic network · Source-to-source taskPSNR: 19.1855 -> 23.7606Helped
Add source-to-source learning (ablation)Basic network · Source-to-source taskLPIPS: 0.1962 -> 0.1468Helped

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