Interactive 3D Face Stylization Using Sculptural Abstraction
Jan Jachnik, Dan B Goldman, Linjie Luo, Andrew J. Davison

TL;DR
This paper introduces an interactive system for real-time 3D face stylization inspired by sculptural abstraction, enabling users to enhance facial features through semantic region-based adjustments.
Contribution
It presents a novel two-scale optimization framework for sculptural abstraction-based stylization, allowing real-time global and local parameter control.
Findings
Effective enhancement of physical 3D face prints
Real-time interactive stylization with adjustable parameters
Demonstrated applicability across various scan sources
Abstract
Sculptors often deviate from geometric accuracy in order to enhance the appearance of their sculpture. These subtle stylizations may emphasize anatomy, draw the viewer's focus to characteristic features of the subject, or symbolize textures that might not be accurately reproduced in a particular sculptural medium, while still retaining fidelity to the unique proportions of an individual. In this work we demonstrate an interactive system for enhancing face geometry using a class of stylizations based on visual decomposition into abstract semantic regions, which we call sculptural abstraction. We propose an interactive two-scale optimization framework for stylization based on sculptural abstraction, allowing real-time adjustment of both global and local parameters. We demonstrate this system's effectiveness in enhancing physical 3D prints of scans from various sources.
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Taxonomy
Topics3D Shape Modeling and Analysis · Face recognition and analysis · 3D Surveying and Cultural Heritage
