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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260921T150437Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250812T104500
DTEND;TZID=America/Los_Angeles:20250812T121500
UID:siggraph_SIGGRAPH 2025_sess150@linklings.com
SUMMARY:Motion From X
DESCRIPTION:xADA: Controllable and Expressive Audio-Driven Animation\n\nWe
  introduce xADA, a generative model for creating expressive and realistic 
 animation of the face, tongue, and head directly from speech audio. \nThe 
 animation maps directly onto MetaHuman compatible rig controls enabling in
 tegration into industry-standard content creation pipelines. \nxADA genera
 lize...\n\n\nSarah Taylor, Salvador Medina, Jonathan Windle, Erica Alcusa 
 Sáez, and Iain Matthews (Epic Games)\n---------------------\nDuetGen: Musi
 c Driven Two-Person Dance Generation via Hierarchical Masked Modeling\n\nW
 e present a framework for generating music-driven synchronized two-person 
 dance animations with close interactions. Our system represents the two-pe
 rson motion sequence as a cohesive entity, performs hierarchical encoding 
 of the motion sequence into discrete tokens, and utilizes dual generative 
 mas...\n\n\nAnindita Ghosh (DFKI, Max Planck Institute for Informatics); B
 ing Zhou (Snap Inc.); Rishabh Dabral (Max Planck Institute for Informatics
 ); Jian Wang (Snap Inc.); Vladislav Golyanik and Christian Theobalt (Max P
 lanck Institute for Informatics); Philipp Slusallek (DFKI, Saarland Univer
 sity); and Chuan Guo (Snap Inc.)\n---------------------\nELGAR: Expressive
  Cello Performance Motion Generation for Audio Rendition\n\nGenerating str
 ing instrument performances with intricate movements and complex interacti
 ons poses significant challenges. To address these, we present ELGAR—the f
 irst diffusion-based framework for whole-body instrument performance motio
 n generation solely from audio. We further contribute inno...\n\n\nZhiping
  Qiu and Yitong Jin (Central Conservatory of Music, Tsinghua University); 
 Yuan Wang (Central Conservatory of Music); Yi Shi (Central Conservatory of
  Music, Tsinghua University); Chao Tan (Weilan Tech); Chongwu Wang, Xiaobi
 ng Li, and Feng Yu (Central Conservatory of Music); and Tao Yu and Qiongha
 i Dai (Tsinghua University)\n---------------------\nMotion-example-control
 led Co-speech Gesture Generation Leveraging Large Language Models\n\nWe pr
 esent a framework to utilize Large Language Models (LLMs) for co-speech ge
 sture generation with motion examples as direct conditions. It enables mul
 ti-modal controls over co-speech gesture generation, such as motion clips,
  a single pose, human video, or even text prompts.\n\n\nBohong Chen (State
  Key Laboratory of CAD & CG, Zhejiang University) and Yumeng Li, Youyi Zhe
 ng, Yao-Xiang Ding, and Kun Zhou (State Key Lab of CAD and CG, Zhejiang Un
 iversity)\n---------------------\nSemantically Consistent Text-to-Motion w
 ith Unsupervised Styles\n\nWe introduce a novel method that integrates uns
 upervised style from arbitrary references into a text-driven diffusion mod
 el to generate semantically consistent stylized human motion. We leverage 
 text as a mediator to capture the temporal correspondences between motion 
 and style, enabling the seamles...\n\n\nLinjun Wu and Xiangjun Tang (Zheji
 ang University; State Key Laboratory of CAD&CG, Zhejiang University); Jing
 yuan Cong (University of California San Diego); He Wang (UCL Centre for Ar
 tificial Intelligence, Department of Computer Science, University College 
 London (UCL)); Bo Hu, Xu Gong, Songnan Li, and Yuchen Liao (Tencent Techno
 logy (Shenzhen) Co., Ltd.); Yiqian Wu (Zhejiang University); Chen Liu (Sta
 te Key Lab of CAD and CG, Zhejiang University); and Xiaogang Jin (Zhejiang
  University; State Key Laboratory of CAD&CG, Zhejiang University)\n-------
 --------------\nSketch2Anim: Towards Transferring Sketch Storyboards into 
 3D Animation\n\nThis paper presents a novel and first approach - Sketch2An
 im, to automatically translate 2D storyboard sketches into high-quality 3D
  animations through multi-conditional motion generation.\n\n\nLei Zhong (U
 niversity of Edinburgh), Chuan Guo (Snap Inc.), Yiming Xie (Northeastern U
 niversity), and Jiawei Wang and Changjian Li (University of Edinburgh)\n--
 -------------------\nMotion From X - Interactive Discussion\n\nAfter the s
 ummary presentations, attendees will participate in an interactive discuss
 ion. Outside the room will be a series of poster boards for authors to gat
 her around with the audience. Authors are invited to bring any material re
 lated to their paper that could instigate further conversation such...\n\n
 \nInterest Area: Research & Education\n\nRecording: Livestreamed, Not Live
 streamed, Recorded, Not Recorded\n\nRegistration Category: Full Conference
 , Virtual Access, Tuesday\n\nSession Chair: Sheldon Andrews (École de Tech
 nologie Supérieure (ÉTS), McGill University)
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