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Pose Transfer
Pose Transfer On Deep Fashion
Pose Transfer On Deep Fashion
Metrics
IS
SSIM
Results
Performance results of various models on this benchmark
Columns
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
0 of 12 row(s) selected.
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