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Morphable models are essential for the statistical modeling of 3D faces.Previous works on morphable models mostly focus on large-scale facial geometrybut ignore facial details. This paper augments morphable models in representingfacial details by learning a Structure-aware Editable Morphable Model (SEMM).SEMM introduces a detail structure representation based on the distance fieldof wrinkle lines, jointly modeled with detail displacements to establish bettercorrespondences and enable intuitive manipulation of wrinkle structure.Besides, SEMM introduces two transformation modules to translate expressionblendshape weights and age values into changes in latent space, allowingeffective semantic detail editing while maintaining identity. Extensiveexperiments demonstrate that the proposed model compactly represents facialdetails, outperforms previous methods in expression animation qualitatively andquantitatively, and achieves effective age editing and wrinkle line editing offacial details. Code and model are available athttps://github.com/gerwang/facial-detail-manipulation.

Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation