SIGGRAPH Asia 2021

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN


Badour AlBahar1,2   Jingwan Lu3  Jimei Yang3   Zhixin Shu3  Eli Shechtman3   Jia-Bin Huang1,4
1Virginia Tech  2Kuwait University  3Adobe Research  4University of Maryland College Park


Results



Ours

GFLA

ADGAN

PATN

Results on DeepFashion StylePoseGAN train/test split



Ours

StylePoseGAN

Reference

  • GFLA: Deep Image Spatial Transformation for Person Image Generation.
  • ADGAN: Controllable Person Image Synthesis with Attribute-Decomposed GAN.
  • PATN: Progressive Pose Attention for Person Image Generation.
  • StylePoseGAN: Style and Pose Control for Image Synthesis of Humans from a Single Monocular View.
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