PAPER / ARXIV:2609.16465
Zixuan Lu (1), Tongtong Wang (2), Yuefan Shen (2), Zhongtian Zheng (2), Chenfanfu Jiang (3), Yin Yang (1), Kui Wu (2) ((1) University of Utah, (2) LIGHTSPEED, (3) UCLA)
RESUMO
We present an automated pipeline that converts hair-card models into high-quality strand-based hairstyles. Given a collection of textured triangular or quad strips as input, our method produces a strand-based representation that preserves the original hairstyle while enriching it with fine-scale geometric detail and adhering to standard production requirements: strands originate from the scalp, roots are uniformly distributed, and the hair volume is plausibly filled. The resulting assets are directly compatible with strand-based rendering, physics-based simulation, and common grooming modifiers (e.g., clumping, curling, noise) for enhanced realism and artistic control. We validate our approach on a large and diverse set of hairstyles, including short and long hair, curly styles, and complex styles such as buns and ponytails.
NO MESMO MAPA