FPDM uses contrastively learned fusion embeddings of source appearance and target pose as conditioning for a diffusion model, achieving top scores on several pose-guided person synthesis metrics.
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Fusion Embedding for Pose-Guided Person Image Synthesis with Diffusion Model
FPDM uses contrastively learned fusion embeddings of source appearance and target pose as conditioning for a diffusion model, achieving top scores on several pose-guided person synthesis metrics.