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:20260817T171536Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241204T130000
DTEND;TZID=Asia/Tokyo:20241204T141000
UID:siggraphasia_SIGGRAPH Asia 2024_sess117@linklings.com
SUMMARY:Animating Humans
DESCRIPTION:Each Paper gives a 10 minute presentation.\n\nFreeAvatar: Robu
 st 3D Facial Animation Transfer by Learning an Expression Foundation Model
 \n\nVideo-driven 3D facial animation transfer aims to drive avatars to rep
 roduce the expressions of actors. Existing methods have achieved remarkabl
 e results by constraining both geometric and perceptual consistency. Howev
 er, geometric constraints (like those designed on facial landmarks) are in
 sufficie...\n\n\nFeng Qiu and Wei Zhang (Netease); Chen Liu (University of
  Queensland, Netease); Rudong An, Lincheng Li, Yu Ding, Changjie Fan, and 
 Zhipeng Hu (Netease); and Xin Yu (University of Queensland)\n-------------
 --------\nHigh-quality Animatable Eyelid Shapes from Lightweight Captures\
 n\nHigh-quality eyelid reconstruction and animation are challenging for th
 e subtle details and complicated deformations. Previous works usually suff
 er from the trade-off between the capture costs and the quality of details
 . In this paper, we propose a novel method that can achieve detailed eyeli
 d recon...\n\n\nJunfeng Lyu and Feng Xu (Tsinghua University, China)\n----
 -----------------\nGeometry-Aware Retargeting for Two-Skinned Characters I
 nteraction\n\nInteractive motion between multiple characters is widely uti
 lized in games and movies. However, the method for transitioning interacti
 ve motions considering the character's diverse mesh shape has yet to be st
 udied. We propose a Spatio Cooperative Transformer (SCT) to retarget the i
 nteracting motions...\n\n\nInseo Jang, Soojin Choi, Seokhyeon Hong, Chaeli
 n Kim, and Junyong Noh (Korea Advanced Institute of Science and Technology
  (KAIST))\n---------------------\nNear-realtime Facial Animation by Deep 3
 D Simulation Super-Resolution\n\nWe present a neural network-based simulat
 ion super-resolution framework that enhances facial performance from a low
 -cost, real-time simulation to a detail level similar to high-resolution, 
 offline simulators. By training on paired low- and high-resolution frames,
  our approach generalizes to unseen e...\n\n\nHyojoon Park and Sangeetha G
 rama Srinivasan (University of Wisconsin-Madison); Matthew Cong, Doyub Kim
 , Byungsoo Kim, Jonathan Swartz, and Ken Museth (NVIDIA); and Eftychios Si
 fakis (University of Wisconsin-Madison, NVIDIA)\n---------------------\nMo
 tionFix: Text-Driven 3D Human Motion Editing\n\nThe focus of this paper is
  3D motion editing. Given a 3D human motion\nand a textual description of 
 the desired modification, our goal is to generate\nan edited motion as des
 cribed by the text. The challenges include the lack\nof training data and 
 the design of a model that faithfully edits the source\n...\n\n\nNikos Ath
 anasiou (Max Planck Institute for Intelligent Systems); Alpár Cseke (Max P
 lanck Institute for Intelligent Systems, Meshcapade); Markos Diomataris an
 d Michael J. Black (Max Planck Institute for Intelligent Systems); and Gül
  Varol (LIGM,  ́Ecole des Ponts, Univ Gustave Eiffel, CNRS)\n-------------
 --------\nRefined Inverse Rigging: A Balanced Approach to High-fidelity Bl
 endshape Animation\n\nIn this paper, we present an advanced approach to so
 lving the inverse rig problem in blendshape animation, using high-quality 
 corrective blendshapes. Our algorithm introduces novel enhancements in thr
 ee key areas: ensuring high data fidelity in reconstructed meshes, achievi
 ng greater sparsity in wei...\n\n\nStevo Racković (University of Lisbon), 
 Dušan Jakovetić (University of Novi Sad), and Cláudia Soares (NOVA School 
 of Science and Technology)\n\nRegistration Category: Full Access, Full Acc
 ess Supporter\n\nLanguage Format: English Language\n\nSession Chair: Jungd
 am Won (Seoul National University)
END:VEVENT
END:VCALENDAR