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DTSTAMP:20240214T070311Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T090000
DTEND;TZID=Australia/Melbourne:20231214T100500
UID:siggraphasia_SIGGRAPH Asia 2023_sess165@linklings.com
SUMMARY:All About Animation
DESCRIPTION:Technical Papers, TOG\n\nPose and Skeleton-aware Neural IK for
  Pose and Motion Editing\n\nPosing a 3D character for film or game is an i
 terative and laborious process where many control handles (e.g. joints) ne
 ed to be manipulated to achieve a compelling result.  Neural Inverse Kinem
 atics (IK) is a new type of IK that enables sparse control over a 3D chara
 cter pose, and leverages full bo...\n\n\nDhruv Agrawal (ETH Zürich, Disney
 Research|Studios); Martin Guay, Jakob Buhmann, and Dominik Borer (DisneyRe
 search|Studios); and Robert W. Sumner (DisneyResearch|Studios, ETH Zürich)
 \n---------------------\nControllable Group Choreography using Contrastive
  Diffusion\n\nMusic-driven group choreography poses a considerable challen
 ge but holds significant potential for a wide range of industrial applicat
 ions. The ability to generate synchronized and visually appealing group da
 nce motions that are aligned with music opens up opportunities in many fie
 lds such as entert...\n\n\nNhat Le and Tuong Do (AIOZ); Khoa Do (VNUHCM-Un
 iversity of Science); Hien Nguyen, Erman Tjiputra, and Quang Tran (AIOZ); 
 and Anh Nguyen (University of Liverpool)\n---------------------\nGroundLin
 k: A Dataset Unifying Human Body Movement and Ground Reaction Dynamics\n\n
 The physical plausibility of human motions is vital to various application
 s in the fields including but not limited to graphics, animation, robotics
 , vision, biomechanics, and sports science. While fully simulating human m
 otions with physics is an extreme challenge, we hypothesize that we can tr
 eat ...\n\n\nXingjian Han, Ben Senderling, Stanley To, Deepak Kumar, and E
 mily Whiting (Boston University) and Jun Saito (Adobe Research)\n---------
 ------------\nReal-Time Reconstruction of Fluid Flow under Unknown Disturb
 ance\n\nWe present a framework that captures sparse Lagrangian flow inform
 ation from a volume of real liquid and reconstructs its detailed kinematic
  information in real time. Our framework can perform flow reconstruction e
 ven when the liquid is disturbed by an object of unknown movement and shap
 e. Through a...\n\n\nKinfung Chu (Tohoku University); Jiawei Huang (Chuzho
 u University, Void Dimensions); and Hidemasa Takana and Yoshifumi Kitamura
  (Tohoku University)\n---------------------\nCapturing Animation-Ready Iso
 tropic Materials Using Systematic Poking\n\nCapturing material properties 
 of real-world elastic solids is both challenging and highly relevant to ma
 ny applications in computer graphics, robotics and related fields. We give
  a non-intrusive, in-situ and inexpensive approach to measure the nonlinea
 r elastic energy density function of man-made ma...\n\n\nHuanyu Chen, Dany
 ong Zhao, and Jernej Barbic (University of Southern California)\n\nRegistr
 ation Category: Full Access
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