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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241205T163000
DTEND;TZID=Asia/Tokyo:20241205T174000
UID:siggraphasia_SIGGRAPH Asia 2024_sess138@linklings.com
SUMMARY:Talking Heads and Moving Faces
DESCRIPTION:Technical Papers\n\nEach Paper gives a 10 minute presentation.
 \n\nPersonaTalk: Bring Attention to Your Persona in Visual Dubbing\n\nFor 
 audio-driven visual dubbing, it remains a considerable challenge to uphold
  and highlight speaker's persona while synthesizing accurate lip synchroni
 zation. Existing methods fall short of capturing speaker's unique speaking
  style or preserving facial details. In this paper, we present PersonaTalk
 ...\n\n\nLonghao Zhang, Shuang Liang, Zhipeng Ge, and Tianshu Hu (Bytedanc
 e)\n---------------------\nTALK-Act: Enhance Textural-Awareness for 2D Spe
 aking Avatar Reenactment with Diffusion Model\n\nRecently, 2D speaking ava
 tars have increasingly participated in everyday scenarios due to the fast 
 development of facial animation techniques. However, most existing works n
 eglect the explicit control of human bodies. In this paper, we propose to 
 drive not only the faces but also the torso and gestu...\n\n\nJiazhi Guan 
 (Tsinghua University); Quanwei Yang (University of Science and Technology 
 of China); Kaisiyuan Wang, Hang Zhou, Shengyi He, Zhiliang Xu, Haocheng Fe
 ng, Errui Ding, and Jingdong Wang (Baidu); Hongtao Xie (University of Scie
 nce and Technology of China); Youjian Zhao (Tsinghua University); and Ziwe
 i Liu (Nanyang Technological University (NTU))\n---------------------\nTex
 tToon: Real-Time Text Toonify Head Avatar from Single Video\n\nWe propose 
 TextToon, a method to generate a drivable toonified avatar. Given a short 
 monocular video sequence and a written instruction about the avatar style,
  our model can generate a high-fidelity toonified avatar that can be drive
 n in real-time by another video with arbitrary identities. Existing...\n\n
 \nLuchuan Song and Lele Chen (Univeristy of Rochester), Celong Liu (Byteda
 nce), Pinxin Liu (University of Rochester), and Chenliang Xu (Univeristy o
 f Rochester)\n---------------------\nFollow-Your-Emoji: Fine-Controllable 
 and Expressive Freestyle Portrait Animation\n\nWe present Follow-Your-Emoj
 i, a diffusion-based framework for portrait animation, which animates a re
 ference portrait with target landmark sequences. The main challenge of por
 trait animation is to preserve the identity of the reference portrait and 
 transfer the target expression to this portrait whi...\n\n\nYue Ma and Hon
 gyu Liu (Hong Kong University of Science and Technology); Hongfa Wang and 
 Heng Pan (Tencent); Yingqing He (Hong Kong University of Science and Techn
 ology); Junkun Yuan, Ailing Zeng, and Chengfei Cai (Tencent); Heung-Yeung 
 Shum (Tsinghua University); Wei Liu (Tencent); and Qifeng Chen (Hong Kong 
 University of Science and Technology)\n---------------------\nVOODOO XP: E
 xpressive One-Shot Head Reenactment for VR Telepresence\n\nWe introduce VO
 ODOO XP: a 3D-aware one-shot head reenactment method that can generate hig
 hly expressive facial expressions from any input driver video and a single
  2D portrait. Our solution is real-time, view-consistent, and can be insta
 ntly used without calibration or fine-tuning. We demonstrate ou...\n\n\nPh
 ong Tran (MBZUAI); Egor Zakharov (ETH Zurich); Long-Nhat Ho, Adilbek Karma
 nov, and Ariana Bermudez Venegas (MBZUAI); McLean Goldwhite, Aviral Agarwa
 l, and Liwen Hu (Pinscreen); Anh Tran (VinAI Research); and Hao Li (MBZUAI
 , Pinscreen)\n---------------------\nFabrig: A Cloth-Simulated Transferabl
 e 3D Face Parameterization\n\nExisting 3D face parameterization methods ar
 e limited to human faces and/or require a large amount of manual work to p
 repare face-specific blendshapes. Unfortunately, many of the automated par
 ameterization methods do not provide local controls for the different faci
 al regions and methods that allow ...\n\n\nChangAn Zhu and Chris Joslin (C
 arleton University)\n\nRegistration Category: Full Access, Full Access Sup
 porter\n\nLanguage Format: English Language\n\nSession Chair: Hongbo Fu (H
 ong Kong University of Science and Technology)
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