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Pose Transfer On Deep Fashion

Metrics

IS

SSIM

Results

Performance results of various models on this benchmark

Model Name	IS	SSIM	Paper Title	Repository
ADGAN	3.364	0.772	Controllable Person Image Synthesis with Attribute-Decomposed GAN	-
UPGPT	-	-	UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer	-
Disentangled PG	3.228	0.614	Disentangled Person Image Generation	-
PG Squared	3.090	0.762	Pose Guided Person Image Generation	-
Deformable GAN	3.439	0.756	Deformable GANs for Pose-based Human Image Generation	-
DiOr	-	0.806	Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing	-
bFT	3.22	0.767	Guided Image-to-Image Translation with Bi-Directional Feature Transformation	-
Progressive Pose Attention	3.209	0.773	Progressive Pose Attention Transfer for Person Image Generation	-
Leffa	-	-	Learning Flow Fields in Attention for Controllable Person Image Generation	-
RATE	3.125	0.774	Region-adaptive Texture Enhancement for Detailed Person Image Synthesis	-
XingGAN	3.476	0.778	XingGAN for Person Image Generation	-
BiGraphGAN	3.430	0.778	Bipartite Graph Reasoning GANs for Person Image Generation	-

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Pose Transfer On Deep Fashion | SOTA | HyperAI