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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:20241204T130000
DTEND;TZID=Asia/Tokyo:20241204T141000
UID:siggraphasia_SIGGRAPH Asia 2024_sess117@linklings.com
SUMMARY:Animating Humans
DESCRIPTION:Technical Papers\n\nEach Paper gives a 10 minute presentation.
 \n\nGeometry-Aware Retargeting for Two-Skinned Characters Interaction\n\nI
 nteractive motion between multiple characters is widely utilized in games 
 and movies. However, the method for transitioning interactive motions cons
 idering the character's diverse mesh shape has yet to be studied. We propo
 se a Spatio Cooperative Transformer (SCT) to retarget the interacting moti
 ons...\n\n\nInseo Jang, Soojin Choi, Seokhyeon Hong, Chaelin Kim, and Juny
 ong Noh (Korea Advanced Institute of Science and Technology (KAIST))\n----
 -----------------\nMotionFix: Text-Driven 3D Human Motion Editing\n\nThe f
 ocus of this paper is 3D motion editing. Given a 3D human motion\nand a te
 xtual description of the desired modification, our goal is to generate\nan
  edited motion as described by the text. The challenges include the lack\n
 of training data and the design of a model that faithfully edits the sourc
 e\n...\n\n\nNikos Athanasiou (Max Planck Institute for Intelligent Systems
 ); Alpár Cseke (Max Planck Institute for Intelligent Systems, Meshcapade);
  Markos Diomataris and Michael J. Black (Max Planck Institute for Intellig
 ent Systems); and Gül Varol (LIGM,  ́Ecole des Ponts, Univ Gustave Eiffel,
  CNRS)\n---------------------\nNear-realtime Facial Animation by Deep 3D S
 imulation Super-Resolution\n\nWe present a neural network-based simulation
  super-resolution framework that enhances facial performance from a low-co
 st, real-time simulation to a detail level similar to high-resolution, off
 line simulators. By training on paired low- and high-resolution frames, ou
 r approach generalizes to unseen e...\n\n\nHyojoon Park and Sangeetha Gram
 a Srinivasan (University of Wisconsin-Madison); Matthew Cong, Doyub Kim, B
 yungsoo Kim, Jonathan Swartz, and Ken Museth (NVIDIA); and Eftychios Sifak
 is (University of Wisconsin-Madison, NVIDIA)\n---------------------\nHigh-
 quality Animatable Eyelid Shapes from Lightweight Captures\n\nHigh-quality
  eyelid reconstruction and animation are challenging for the subtle detail
 s and complicated deformations. Previous works usually suffer from the tra
 de-off between the capture costs and the quality of details. In this paper
 , we propose a novel method that can achieve detailed eyelid recon...\n\n\
 nJunfeng Lyu and Feng Xu (Tsinghua University, China)\n-------------------
 --\nFreeAvatar: Robust 3D Facial Animation Transfer by Learning an Express
 ion Foundation Model\n\nVideo-driven 3D facial animation transfer aims to 
 drive avatars to reproduce the expressions of actors. Existing methods hav
 e achieved remarkable results by constraining both geometric and perceptua
 l consistency. However, geometric constraints (like those designed on faci
 al landmarks) are insufficie...\n\n\nFeng Qiu and Wei Zhang (Netease); Che
 n Liu (University of Queensland, Netease); Rudong An, Lincheng Li, Yu Ding
 , Changjie Fan, and Zhipeng Hu (Netease); and Xin Yu (University of Queens
 land)\n---------------------\nRefined Inverse Rigging: A Balanced Approach
  to High-fidelity Blendshape Animation\n\nIn this paper, we present an adv
 anced approach to solving the inverse rig problem in blendshape animation,
  using high-quality corrective blendshapes. Our algorithm introduces novel
  enhancements in three key areas: ensuring high data fidelity in reconstru
 cted meshes, achieving greater sparsity in wei...\n\n\nStevo Racković (Uni
 versity of Lisbon), Dušan Jakovetić (University of Novi Sad), and Cláudia 
 Soares (NOVA School of Science and Technology)\n\nRegistration Category: F
 ull Access, Full Access Supporter\n\nLanguage Format: English Language\n\n
 Session Chair: Jungdam Won (Seoul National University)
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