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DTSTAMP:20260817T171532Z
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:Xiangjun Tang and Linjun Wu (State Key Laboratory of CAD&CG, Z
 hejiang University); He Wang (University College London (UCL)); Yiqian Wu 
 (State Key Laboratory of CAD&CG, Zhejiang University); Bo Hu, Songnan Li, 
 Xu Gong, Yuchen Liao, and Qilong Kou (Tencent Technology (Shenzhen) Co., L
 td.); and Xiaogang Jin (State Key Laboratory of CAD&CG, Zhejiang Universit
 y)\n\nMotion style transfer changes the style of a motion while retaining 
 its content and is useful in computer animations and games. Contact is an 
 essential component of motion style transfer that should be controlled exp
 licitly in order to express the style vividly while enhancing motion natur
 alness and quality. However, it is unknown how to decouple and control con
 tact to achieve fine-grained control in motion style transfer. \nIn this p
 aper, we present a novel style transfer method for fine-grained control ov
 er contacts while achieving both motion naturalness and spatial-temporal v
 ariations of style. Based on our empirical evidence, we propose controllin
 g contact indirectly through the hip velocity, which can be further decomp
 osed into the trajectory and contact timing, respectively. To this end, we
  propose a new model that explicitly models the correlations between motio
 ns and trajectory/contact timing/style, allowing us to decouple and contro
 l each separately. Our approach is built around a motion manifold, where h
 ip controls can be easily integrated into a Transformer-based decoder. It 
 is versatile in that it can generate motions directly as well as be used a
 s post-processing for existing methods to improve quality and contact cont
 rollability. In addition, we propose a new metric that measures a correlat
 ion pattern of motions based on our empirical evidence, aligning well with
  human perception in terms of motion naturalness. Based on extensive evalu
 ation, our method outperforms existing methods in terms of style expressiv
 ity and motion quality.\n\nRegistration Category: Full Access, Full Access
  Supporter\n\nLanguage Format: English Language\n\nSession Chair: Hao (Ric
 hard) Zhang (Simon Fraser University, Augmenta)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_467&sess=sess120
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