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DTSTAMP:20240214T070240Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_427@linklings.com
SUMMARY:Controllable Group Choreography using Contrastive Diffusion
DESCRIPTION:Technical Papers\n\nNhat Le and Tuong Do (AIOZ); Khoa Do (VNUH
 CM-University of Science); Hien Nguyen, Erman Tjiputra, and Quang Tran (AI
 OZ); and Anh Nguyen (University of Liverpool)\n\nMusic-driven group choreo
 graphy poses a considerable challenge but holds significant potential for 
 a wide range of industrial applications. The ability to generate synchroni
 zed and visually appealing group dance motions that are aligned with music
  opens up opportunities in many fields such as entertainment, advertising,
  and virtual performances. However, most of the recent works are not able 
 to generate high-fidelity long-term motions, or fail to enable controllabl
 e experience. In this work, we aim to address the demand for high-quality 
 and customizable group dance generation by effectively governing the consi
 stency and diversity of group choreographies. In particular, we utilize a 
 diffusion-based generative approach to enable the synthesis of flexible da
 ncers and long-term group dances, while ensuring coherence to the input mu
 sic. Ultimately, we introduce a Group Contrastive Diffusion (GCD) strategy
  to enhance the connection between dancers and their group, presenting the
  ability to control the consistency or diversity level of the synthesized 
 group animation via the classifier-guidance sampling technique. Through in
 tensive experiments and evaluation, we demonstrate the effectiveness of ou
 r approach in producing visually captivating and consistent group dance mo
 tions. The experimental results show the capability of our method to achie
 ve the desired levels of consistency and diversity, while maintaining the 
 overall quality of the generated group choreography.\n\nRegistration Categ
 ory: Full Access, Enhanced Access, Trade Exhibitor, Experience Hall Exhibi
 tor
URL:https://asia.siggraph.org/2023/full-program?id=papers_427&sess=sess209
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