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DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241204T153100
DTEND;TZID=Asia/Tokyo:20241204T154300
UID:siggraphasia_SIGGRAPH Asia 2024_sess120_papers_467@linklings.com
SUMMARY:Decoupling Contact for Fine-Grained Motion Style Transfer
DESCRIPTION:Technical Papers\n\nXiangjun Tang and Linjun Wu (State Key Lab
 oratory of CAD&CG, Zhejiang University); He Wang (University College Londo
 n (UCL)); Yiqian Wu (State Key Laboratory of CAD&CG, Zhejiang University);
  Bo Hu, Songnan Li, Xu Gong, Yuchen Liao, and Qilong Kou (Tencent Technolo
 gy (Shenzhen) Co., Ltd.); and Xiaogang Jin (State Key Laboratory of CAD&CG
 , Zhejiang University)\n\nMotion style transfer changes the style of a mot
 ion while retaining its content and is useful in computer animations and g
 ames. Contact is an essential component of motion style transfer that shou
 ld be controlled explicitly in order to express the style vividly while en
 hancing motion naturalness and quality. However, it is unknown how to deco
 uple and control contact to achieve fine-grained control in motion style t
 ransfer. \nIn this paper, we present a novel style transfer method for fin
 e-grained control over contacts while achieving both motion naturalness an
 d spatial-temporal variations of style. Based on our empirical evidence, w
 e propose controlling contact indirectly through the hip velocity, which c
 an be further decomposed into the trajectory and contact timing, respectiv
 ely. To this end, we propose a new model that explicitly models the correl
 ations between motions and trajectory/contact timing/style, allowing us to
  decouple and control each separately. Our approach is built around a moti
 on manifold, where hip controls can be easily integrated into a Transforme
 r-based decoder. It is versatile in that it can generate motions directly 
 as well as be used as post-processing for existing methods to improve qual
 ity and contact controllability. In addition, we propose a new metric that
  measures a correlation pattern of motions based on our empirical evidence
 , aligning well with human perception in terms of motion naturalness. Base
 d on extensive evaluation, our method outperforms existing methods in term
 s of style expressivity and motion quality.\n\nRegistration Category: Full
  Access, Full Access Supporter\n\nLanguage Format: English Language\n\nSes
 sion Chair: Hao (Richard) Zhang (Simon Fraser University, Amazon)
URL:https://asia.siggraph.org/2024/program/?id=papers_467&sess=sess120
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