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DTSTAMP:20260114T163650Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T111500
DTEND;TZID=Australia/Melbourne:20231215T121300
UID:siggraphasia_SIGGRAPH Asia 2023_sess156@linklings.com
SUMMARY:Humans & Characters
DESCRIPTION:Efficient Hybrid Zoom using Camera Fusion on Mobile Phones\n\n
 DSLR cameras can achieve multiple zoom levels via shifting lens distances 
 or swapping lens types. However, these techniques are not possible on smar
 tphone devices due to space constraints. Most smartphone manufacturers ado
 pt a hybrid zoom system: commonly a Wide (W) camera at a low zoom level an
 d a ...\n\n\nXiaotong Wu, Wei-Sheng Lai, and Yichang Shih (Google Inc.); C
 harles Herrmann and Michael Krainin (Google Research); Deqing Sun (Google)
 ; and Chia-Kai Liang (Google Inc.)\n---------------------\nInteractive Sto
 ry Visualization with Multiple Characters\n\nAccurate Story visualization 
 requires several necessary elements, such as identity consistency across f
 rames, the alignment between plain text and visual content, and a reasonab
 le layout of objects in images. Most previous works endeavor to meet these
  requirements by fitting a text-to-image (T2I) mo...\n\n\nYuan Gong (Tsing
 hua University); Youxin Pang (MAIS & NLPR, Institute of Automation, Chines
 e Academy of Sciences, Beijing, China; School of Artificial Intelligence, 
 University of Chinese Academy of Sciences); Xiaodong Cun and Menghan Xia (
 Tencent); Yingqing He (Hong Kong University of Science and Technology); Ha
 oxin Chen, Longyue Wang, Yong Zhang, Xintao Wang, and Ying Shan (Tencent);
  and Yujiu Yang (Tsinghua University)\n---------------------\nStory-to-Mot
 ion: Synthesizing Infinite and Controllable Character Animation from Long 
 Text\n\nWe introduce Story-to-Motion, generating motion and trajectory fro
 m text, using a text-driven, controllable system that combines large langu
 age model, motion matching, and neural blending for diverse and realistic 
 motion generation.\n\n\nZhongfei Qing, Zhongang Cai, Zhitao Yang, and Lei 
 Yang (SenseTime Research)\n---------------------\nIntrinsic Harmonization 
 for Illumination-Aware Image Compositing\n\nDespite significant advancemen
 ts in network-based image harmonization techniques, there still exists a d
 omain gap between training pairs and real-world composites encountered dur
 ing inference. Most existing methods are trained to reverse global edits m
 ade on segmented image regions, which fail to ac...\n\n\nChris Careaga, S.
  Mahdi H. Miangoleh, and Yağız Aksoy (Simon Fraser University)\n----------
 -----------\nDecaf: Monocular Deformation Capture for Face and Hand Intera
 ctions\n\nExisting methods for 3D tracking from monocular RGB videos predo
 minantly consider articulated and rigid objects (e.g., two hands or humans
  interacting with rigid environments).  Modelling dense non-rigid object d
 eformations in this setting (e.g., when hand are interacting with a face),
  remained larg...\n\n\nSoshi Shimada (Max-Planck-Institut für Informatik; 
 Saarbrücken Research Center for Visual Computing, Interaction and Artifici
 al  Intelligence); Vladislav Golyanik (Max-Planck-Institut für Informatik)
 ; Patrick Pérez (Valeo); and Christian Theobalt (Max-Planck-Institut für I
 nformatik; Saarbrücken Research Center for Visual Computing, Interaction a
 nd Artificial  Intelligence)\n\nRegistration Category: Full Access\n\nSess
 ion Chair: Sergi Pujades (National Institute for Research in Computer Scie
 nce and Automation (INRIA), Université Grenoble Alpes)
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