2024年9月29日に、ECCV 2024の一部として開催された the First Workshop on Computer Vision for Videogames (CV2) にて、修了生の篠原君の研究が発表されました。
- Riku Shinohara, Atsushi Hashimoto, Tadashi Kozuno, Shigeo Yoshida, Yutaro Hirao, Monica Perusquía-Hernández, Hideaki Uchiyama, and Kiyoshi Kiyokawa,
“Hand2Any: Hand-to-Any Motion Mapping with Few-Shot User Adaptation for Avatar Manipulation”,
(Abstract) We explore user-agnostic and user-specific mapping techniques for manipulating avatars using hand gestures in virtual reality (VR). User-agnostic mapping allows users to control various avatars based on common user agreements, while user-specific mapping adapts to individual preferences using few-shot adaptation. Both approaches use supervised learning with paired datasets of motion data. Our evaluation, including quantitative assessments and user studies, shows that both techniques offer finer control, require less physical effort, and provide higher user satisfaction compared to existing methods. However, only a few users preferred user-specific mapping, indicating that the benefits of personalized mapping may vary. Finally, we demonstrate our methods’ ability to manipulate avatars with variable joint structures, surpassing current methods.
