StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair
  Geometric Priors
While haircut indicates distinct personality, existing avatar generation
methods fail to model practical hair due to the general or entangled
representation. We propose StrandHead, a novel text to 3D head avatar
generation method capable of generating disentangled 3D hair with strand
representation. Without using 3D data for supervision, we demonstrate that
realistic hair strands can be generated from prompts by distilling 2D
generative diffusion models. To this end, we propose a series of reliable
priors on shape initialization, geometric primitives, and statistical haircut
features, leading to a stable optimization and text-aligned performance.
Extensive experiments show that StrandHead achieves the state-of-the-art
reality and diversity of generated 3D head and hair. The generated 3D hair can
also be easily implemented in the Unreal Engine for physical simulation and
other applications. The code will be available at
https://xiaokunsun.github.io/StrandHead.github.io.
6760edcb125981709b9f2e00
Xiaokun Sun
claimed_verified
2024-12-17T08:03:50.594Z
65813fbeabafd960c84fdf2f
/avatars/d8f9cb56a2e44c3ca4472099437e0b50.svg
Xiaokun Sun
user
XiaokunSun
6760edcb125981709b9f2e01
Zeyu Cai
6760edcb125981709b9f2e02
Zhenyu Zhang
admin_assigned
2024-12-17T11:15:41.589Z
642e6cc9be01b88c9446fe3d
/avatars/43a8f9bf35bea54bcda547174d921aa4.svg
Zhenyu Zhang
user
JesseZhang
6760edcb125981709b9f2e03
Ying Tai
claimed_verified
2024-12-17T08:03:48.616Z
65734004769f3ee9bde1af10
/avatars/d6310ed861972fd691687d8f47413f33.svg
Ying Tai
user
yingtai
6760edcb125981709b9f2e04
Jian Yang
StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair
  Geometric Priors
While haircut indicates distinct personality, existing avatar generation
methods fail to model practical hair due to the general or entangled
representation. We propose StrandHead, a novel text to 3D head avatar
generation method capable of generating disentangled 3D hair with strand
representation. Without using 3D data for supervision, we demonstrate that
realistic hair strands can be generated from prompts by distilling 2D
generative diffusion models. To this end, we propose a series of reliable
priors on shape initialization, geometric primitives, and statistical haircut
features, leading to a stable optimization and text-aligned performance.
Extensive experiments show that StrandHead achieves the state-of-the-art
reality and diversity of generated 3D head and hair. The generated 3D hair can
also be easily implemented in the Unreal Engine for physical simulation and
other applications. The code will be available at
https://xiaokunsun.github.io/StrandHead.github.io.
StrandHead generates realistic 3D hair for avatars using 2D diffusion models with text-based prompts, achieving high quality and diversity.
3D head avatar generation StrandHead 3D hair strand representation 2D generative diffusion models shape initialization geometric primitives statistical haircut features Unreal Engine