SRM-Hair: Single Image Head Mesh Reconstruction via 3D Morphable Hair

• URL: http://arxiv.org/abs/2503.06154v1
• Date: Sat, 08 Mar 2025 10:37:46 GMT
• Title: SRM-Hair: Single Image Head Mesh Reconstruction via 3D Morphable Hair
• Authors: Zidu Wang, Jiankuo Zhao, Miao Xu, Xiangyu Zhu, Zhen Lei,
• Abstract summary: This paper introduces a novel method, Semantic-consistent Ray Modeling of Hair (SRM-Hair), for making 3D hair morphable and controlled by coefficients.<n>We collect a dataset of over 250 high-fidelity real hair scans paired with 3D face data to serve as a prior for the 3D morphable hair.<n>SRM-Hair produces an independent hair mesh, applications in virtual avatar creation, realistic animation, and high-fidelity hair rendering.
• Score: 34.11388822363024
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 3D Morphable Models (3DMMs) have played a pivotal role as a fundamental representation or initialization for 3D avatar animation and reconstruction. However, extending 3DMMs to hair remains challenging due to the difficulty of enforcing vertex-level consistent semantic meaning across hair shapes. This paper introduces a novel method, Semantic-consistent Ray Modeling of Hair (SRM-Hair), for making 3D hair morphable and controlled by coefficients. The key contribution lies in semantic-consistent ray modeling, which extracts ordered hair surface vertices and exhibits notable properties such as additivity for hairstyle fusion, adaptability, flipping, and thickness modification. We collect a dataset of over 250 high-fidelity real hair scans paired with 3D face data to serve as a prior for the 3D morphable hair. Based on this, SRM-Hair can reconstruct a hair mesh combined with a 3D head from a single image. Note that SRM-Hair produces an independent hair mesh, facilitating applications in virtual avatar creation, realistic animation, and high-fidelity hair rendering. Both quantitative and qualitative experiments demonstrate that SRM-Hair achieves state-of-the-art performance in 3D mesh reconstruction. Our project is available at https://github.com/wang-zidu/SRM-Hair

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