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Research map / Image generation / Editing and style transfer

Person Image Synthesis via Denoising Diffusion Model

CVPR 2023 · Image generation › Editing and style transfer · approach: Pose-guided person image synthesis · 127 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add a separate texture encoder and concatenate its features into the noise prediction layers (ablation)PIDM baseline · DeepFashionFID: 10.813 -> 9.8510Helped
Add texture diffusion blocks (ablation)PIDM baseline with texture encoder · DeepFashionFID: 9.8510 -> 7.5133Helped
Add vanilla classifier-free guidance (ablation)PIDM with texture diffusion blocks · DeepFashionFID: 7.5133 -> 6.8176Helped
Replace vanilla classifier-free guidance with disentangled classifier-free guidance (ablation)PIDM with texture diffusion blocks · DeepFashionFID: 6.8176 -> 6.3671Helped
Replace vanilla classifier-free guidance with disentangled classifier-free guidance (ablation)PIDM with texture diffusion blocks · DeepFashionSSIM: 0.7195 -> 0.7312Helped
Replace vanilla classifier-free guidance with disentangled classifier-free guidance (ablation)PIDM with texture diffusion blocks · DeepFashionLPIPS: 0.1769 -> 0.1676Helped
Add texture diffusion blocks (ablation)PIDM baseline with texture encoder · DeepFashionSSIM: 0.7005 -> 0.7178Helped
Add texture diffusion blocks (ablation)PIDM baseline with texture encoder · DeepFashionLPIPS: 0.1983 -> 0.1870Helped

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