Shape Adaptation for 3D Hairstyle Retargeting

It is demanding to author an existing hairstyle for novel characters in games and VR applications. However, it is a non-trivial task for artists due to the complicated hair geometries and spatial interactions to preserve. In this paper, we present an automatic shape adaptation method to retarget 3D...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2025, p.1-13
Main Authors: Yu, Lu, Ren, Zhong, Zheng, Youyi, Chen, Xiang, Zhou, Kun
Format: Article
Language:English
Subjects:
3D hairstyle retargeting
Bones
constrained optimization
Deformation
embedded membrane
Hair
multi-scale solving
Optimization
Scalp
Shape
shape adaptation
Solid modeling
Three-dimensional displays
Training
Online Access:Get full text
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Summary:It is demanding to author an existing hairstyle for novel characters in games and VR applications. However, it is a non-trivial task for artists due to the complicated hair geometries and spatial interactions to preserve. In this paper, we present an automatic shape adaptation method to retarget 3D hairstyles. We formulate the adaptation process as a constrained optimization problem, where all the shape properties and spatial relationships are converted into individual objectives and constraints. To make such an optimization on high-resolution hairstyles tractable, we adopt a multi-scale strategy to compute the target positions of the hair strands in a coarse-to-fine manner. The global solving for the inter-strands coupling is restricted to the coarse level, and the solving for fine details is made local and parallel. In addition, we present a novel hairline edit tool to allow for user customization during retargeting. We achieve it by solving physics-based deformations of an embedded membrane to redistribute the hair roots with minimal distortion. We demonstrate the efficacy of our method through quantitative and qualitative experiments on various hairstyles and characters.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2024.3521003