Cross Attention Based Style Distribution for Controllable Person Image Synthesis

Understand

Controllable person image synthesis task enables a wide range of applications through explicit control over body pose and appearance.

• In this paper, we propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer.
• The module intentionally selects the style represented by each semantic and distributes them according to the target pose.
• The attention matrix in cross attention expresses the dynamic similarities between the target pose and the source styles for all semantics.