Year: 2025
Type: article
Abstract: 3D human models serve as the foundation for 3D garment design, while personalized human modeling has emerged as a significant research focus in computer graphics and computer vision. Over time, numerous implementation approaches have been developed. This paper reviews and summarizes recent advancements in personalized human modeling, categorizing them into scanning-based methods, standard model deformation techniques, template matching approaches, image-based model reconstruction, and wireframe-assisted deep learning methods. The study analyzes the strengths and limitations of existing methodologies while outlining future development trends.
DOI: 10.54097/7018w672
Author: Xiaoyao Cai
Institution: Yunnan Open University
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414617115