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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171537Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241206T144500
DTEND;TZID=Asia/Tokyo:20241206T155500
UID:siggraphasia_SIGGRAPH Asia 2024_sess150@linklings.com
SUMMARY:Hand and Human
DESCRIPTION:Each Paper gives a 10 minute presentation.\n\n360-degree Human
  Video Generation with 4D Diffusion Transformer\n\nWe present a novel appr
 oach for generating 360-degree high-quality, spatio-temporally coherent hu
 man videos from a single image. Our framework combines the strengths of di
 ffusion transformers for capturing global correlations across viewpoints a
 nd time, and CNNs for accurate condition injection. The...\n\n\nRuizhi Sha
 o, Youxin Pang, Zerong Zheng, Jingxiang Sun, and Yebin Liu (Tsinghua Unive
 rsity)\n---------------------\nSynchronize Dual Hands for Physics-Based De
 xterous Guitar Playing\n\nWe present a novel approach to synthesize dexter
 ous motions for physically simulated hands in tasks that require coordinat
 ion between the control of two hands with high temporal precision. Instead
  of directly learning a joint policy to control two hands, our approach pe
 rforms bimanual control throug...\n\n\nPei Xu and Ruocheng Wang (Stanford 
 University)\n---------------------\nWorld-Grounded Human Motion Recovery v
 ia Gravity-View Coordinates\n\nWe present a novel method for recovering wo
 rld-grounded human motion from monocular video. The main challenge lies in
  the ambiguity of defining the world coordinate system, which varies betwe
 en sequences. Previous approaches attempt to alleviate this issue by predi
 cting relative motion in an autoreg...\n\n\nZehong Shen, Huaijin Pi, Yan X
 ia, Zhi Cen, and Sida Peng (State Key Laboratory of CAD&CG, Zhejiang Unive
 rsity); Zechen Hu (Deep Glint); Hujun Bao (State Key Laboratory of CAD&CG,
  Zhejiang University); Ruizhen Hu (Shenzhen University (SZU)); and Xiaowei
  Zhou (State Key Laboratory of CAD&CG, Zhejiang University)\n-------------
 --------\nDiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions f
 rom Textual Descriptions\n\nWe introduce DiffH2O, a new diffusion-based fr
 amework for synthesizing realistic, dexterous hand-object interactions fro
 m natural language. Our model employs a temporal two-stage diffusion proce
 ss, dividing hand-object motion generation into grasping and interaction s
 tages to enhance generalization ...\n\n\nSammy Christen (ETH, Meta) and Sh
 reyas Hampali, Fadime Sener, Edoardo Remelli, Tomas Hodan, Eric Sauser, Sh
 ugao Ma, and Bugra Tekin (Meta)\n---------------------\nPuzzleAvatar: Asse
 mbling 3D Avatars from Personal Albums\n\nGenerating personalized 3D avata
 rs is crucial for AR/VR. However, recent text-to-3D methods that generate 
 avatars for celebrities or fictional characters, struggle with everyday pe
 ople. Methods for faithful reconstruction typically require full-body imag
 es in controlled settings. What if a user coul...\n\n\nYuliang Xiu (Max Pl
 anck Institute for Intelligent Systems); Yufei Ye (Carnegie Mellon Univers
 ity); Zhen Liu (Max Planck Institute for Intelligent Systems; Mila, Univer
 sité de Montréal); Dimitris Tzionas (University of Amsterdam); and Michael
  J. Black (Max Planck Institute for Intelligent Systems)\n----------------
 -----\nMeasuring Human Motion Under Clothing\n\nIn many applications invol
 ving clothing, it is essential to know how clothes move relative to the bo
 dy hidden beneath. This is impossible using traditional optical motion cap
 ture methods due to visual occlusion due to clothes and other body parts, 
 and very difficult using previous non-optical method...\n\n\nLuis Bolanos,
  Pearson Wyder-Hodge, and Xindong Lin (University of British Columbia) and
  Dinesh K. Pai (University of British Columbia, Vital Mechanics Research)\
 n\nRegistration Category: Full Access, Full Access Supporter\n\nLanguage F
 ormat: English Language\n\nSession Chair: Li-Yi Wei (Adobe Research)
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