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Open Graph

title

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

description

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

image

site name

author

Badour AlBahar

updated

2026-03-02 11:02:34

raw text

Pose with Style SIGGRAPH Asia 2021 Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN Badour AlBahar 1,2   Jingwan Lu 3   Jimei Yang 3   Zhixin Shu 3   Eli Shechtman 3   Jia-Bin Huang 1,4 1 Virginia Tech   2 Kuwait University   3 Adobe Research   4 University of Maryland College Park Watch the video here if Youtube doesn't work for you. Abstract We present an algorithm for re-rendering a person from a single image under arbitrary poses. Existing methods often have difficulties in hallucinating occluded contents photo-realistically while preserving the identity and fine details in the source image. We first learn to inpaint the correspondence field between the body surface texture and the source image with a human body symmetry prior. The inpainted correspondence field allows us to transfer/warp local features extracted from the source to the target view even under large pose changes. Dire...

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