BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260817T171535Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241204T144500
DTEND;TZID=Asia/Tokyo:20241204T155500
UID:siggraphasia_SIGGRAPH Asia 2024_sess120@linklings.com
SUMMARY:Domo Arigato, Mr. Roboto /  Robots and Characters
DESCRIPTION:Each Paper gives a 10 minute presentation.\n\nRobot Motion Dif
 fusion Model: Motion Generation for Robotic Characters\n\nRecent advanceme
 nts in generative motion models have achieved remarkable results, enabling
  the synthesis of lifelike human motions from textual descriptions. These 
 kinematic approaches, while visually appealing, often produce motions that
  fail to adhere to physical constraints, resulting in artifact...\n\n\nAgo
 n Serifi (ETH Zürich, Disney Research); Ruben Grandia and Espen Knoop (Dis
 ney Research); Markus Gross (ETH Zürich, Disney Research); and Moritz Bäch
 er (Disney Research)\n---------------------\nPC-Planner: Physics-Constrain
 ed Self-Supervised Learning for Robust Neural Motion Planning with Shape-A
 ware Distance Function\n\nMotion Planning (MP) is a critical challenge in 
 robotics, especially pertinent with the burgeoning interest in embodied ar
 tificial intelligence. Traditional MP methods often struggle with high-dim
 ensional complexities. Recently neural motion planners, particularly physi
 cs-informed neural planners ba...\n\n\nXujie Shen, Haocheng Peng, and Zeso
 ng Yang (State Key Laboratory of CAD&CG, Zhejiang University); Juzhan Xu (
 Shenzhen University (SZU)); Hujun Bao (State Key Laboratory of CAD&CG, Zhe
 jiang University); Ruizhen Hu (Shenzhen University (SZU)); and Zhaopeng Cu
 i (State Key Laboratory of CAD&CG, Zhejiang University)\n-----------------
 ----\nA Plentoptic 3D Vision System\n\nWe present a novel multi-camera, mu
 lti-modal vision system designed for industrial robotics applications. The
  system generates high-quality 3D point clouds, with a focus on improving 
 the completeness and reducing hallucinations for collision avoidance acros
 s various geometries, materials, and lighti...\n\n\nAgastya Kalra, Vage Ta
 maazyan, Alberto Dall'olio, Raghav Khanna, Tomas Gerlich, Georgia Giannopo
 lou, Guy Stoppi, Daniel Baxter, and Abhijit Ghosh (Intrinsic); Rick Szelis
 ki (Google Research); and Kartik Venkataraman (Intrinsic)\n---------------
 ------\nActuators A La Mode: Modal Actuations for Soft Body Locomotion\n\n
 Traditional character animation specializes in characters with a rigidly a
 rticulated skeleton and a bipedal/quadripedal morphology. This assumption 
 simplifies many aspects for designing physically based animations, like lo
 comotion, but comes with the price of excluding characters of arbitrary de
 form...\n\n\nOtman Benchekroun (University of Toronto); Kaixiang Xie (McGi
 ll University); Hsueh-Ti Derek Liu (Roblox); Eitan Grinspun (University of
  Toronto); Sheldon Andrews (Ecole de Technologie Superieure, Roblox); and 
 Victor Zordan (Roblox)\n---------------------\nDecoupling Contact for Fine
 -Grained Motion Style Transfer\n\nMotion style transfer changes the style 
 of a motion while retaining its content and is useful in computer animatio
 ns and games. Contact is an essential component of motion style transfer t
 hat should be controlled explicitly in order to express the style vividly 
 while enhancing motion naturalness and...\n\n\nXiangjun Tang and Linjun Wu
  (State Key Laboratory of CAD&CG, Zhejiang University); He Wang (Universit
 y College London (UCL)); Yiqian Wu (State Key Laboratory of CAD&CG, Zhejia
 ng University); Bo Hu, Songnan Li, Xu Gong, Yuchen Liao, and Qilong Kou (T
 encent Technology (Shenzhen) Co., Ltd.); and Xiaogang Jin (State Key Labor
 atory of CAD&CG, Zhejiang University)\n---------------------\nMaskedMimic:
  Unified Physics-Based Character Control Through Masked Motion Inpainting\
 n\nCrafting a single, versatile physics-based controller that can breathe 
 life into interactive characters across a wide spectrum of scenarios repre
 sents an exciting frontier in character animation. An ideal controller sho
 uld support diverse control modalities, such as sparse target keyframes, t
 ext ins...\n\n\nChen Tessler (NVIDIA Research), Yunrong Guo (NVIDIA), Ofir
  Nabati and Gal Chechik (NVIDIA Research), and Xue Bin Peng (NVIDIA)\n\nRe
 gistration Category: Full Access, Full Access Supporter\n\nLanguage Format
 : English Language\n\nSession Chair: Hao (Richard) Zhang (Simon Fraser Uni
 versity, Augmenta)
END:VEVENT
END:VCALENDAR