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title
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DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
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2026-02-20 23:26:40
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DiffusionRig: Learning Personalized Priors for Facial Appearance Editing DiffusionRig: Learning Personalized Priors for Facial Appearance Editing CVPR 2023 Zheng Ding 1 , Xuaner Zhang 2 , Zhihao Xia 2 , Lars Jebe 2 , Zhuowen Tu 1 , Xiuming Zhang 2 1 UC San Diego 2 Adobe Paper Video Code Your browser does not support the video tag. DiffusionRig takes in coarse physical rendering as the condition to “rig” the input image with learned personal priors. The edited images respect the rendering conditions, preserve the identity, and exhibit high-frequency facial details. Abstract We address the problem of learning person-specific facial priors from a small number (e.g., 20) of portrait photos of the same person. This enables us to edit this specific person's facial appearance, such as expression and lighting, while preserving their identity and high-frequency facial details. Key to our approach, which we dub DiffusionRig, is...
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