Generating 3D Hair Strips from Partial Strands using Diffusion Model
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Animation-friendly hair representation is essential for real-time applications such as interactive character systems. While lightweight strip-based models are increasingly adopted as alternatives to strand-based hair for computational efficiency, creating such hair strips based on the hairstyle shown in a single image remains laborious. In this paper, we present a diffusion model-based framework for 3D hair strip generation using sparse strands extracted from a single portrait image. Our key idea is to formulate this task as an inpainting problem solved through a diffusion model operating in the UV parameter space of the head scalp. We parameterize both strands and strips on a shared UV scalp map, enabling the diffusion model to learn their correlations. We then perform spatial and channel-wise inpainting to reconstruct complete strip representations from partially observed strand maps. To train our diffusion model, we address the data scarcity problem of 3D hair strip models by constructing a large-scale strand-strip paired dataset through our adaptive clustering algorithm that converts groups of hair strands into strip models. Comprehensive qualitative and quantitative evaluations demonstrate that our framework effectively reconstructs high-quality hair strip models from an input image while preserving characteristic styles of strips. Furthermore, we show that the generated strips can be directly integrated into rigging-based animation workflows for real-time platforms such as games.
Description
CCS Concepts: Computing methodologies → Parametric curve and surface models; Reconstruction
@inproceedings{10.2312:pg.20251290,
booktitle = {Pacific Graphics Conference Papers, Posters, and Demos},
editor = {Christie, Marc and Han, Ping-Hsuan and Lin, Shih-Syun and Pietroni, Nico and Schneider, Teseo and Tsai, Hsin-Ruey and Wang, Yu-Shuen and Zhang, Eugene},
title = {{Generating 3D Hair Strips from Partial Strands using Diffusion Model}},
author = {Lee, Gyeongmin and Jang, Wonjong and Lee, Seungyong},
year = {2025},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-295-0},
DOI = {10.2312/pg.20251290}
}