BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250110T023313Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241206T130000
DTEND;TZID=Asia/Tokyo:20241206T141000
UID:siggraphasia_SIGGRAPH Asia 2024_sess147@linklings.com
SUMMARY:(Do) Make Some Noise
DESCRIPTION:Technical Papers\n\nEach Paper gives a 10 minute presentation.
 \n\nDance-to-Music Generation with Encoder-based Textual Inversion\n\nThe 
 seamless integration of music with dance movements is essential for commun
 icating the artistic intent of a dance piece. This alignment also signific
 antly improves the immersive quality of gaming experiences and animation p
 roductions. Although there has been remarkable advancement in creating hig
 ...\n\n\nSifei Li, Weiming Dong, and Yuxin Zhang (MAIS, Institute of Autom
 ation, Chinese Academy of Sciences; School of Artificial Intelligence, Uni
 versity of Chinese Academy of Sciences); Fan Tang (University of Chinese A
 cademy of Sciences); Chongyang Ma (Kuaishou Technology); Oliver Deussen (U
 niversity of Konstanz); Tong-Yee Lee (National Cheng-Kung University); and
  Changsheng Xu (MAIS, Institute of Automation, Chinese Academy of Sciences
 ; School of Artificial Intelligence, University of Chinese Academy of Scie
 nces)\n---------------------\nSketching With Your Voice: "Non-Phonorealist
 ic" Rendering of Sounds via Vocal Imitation\n\nWe present a method for aut
 omatically producing human-like vocal imitations of sounds: the equivalent
  of ``sketching,'' but for auditory rather than visual representation. Sta
 rting with a simulated model of the human vocal tract, we first try genera
 ting vocal imitations by tuning the model's control...\n\n\nMatthew Caren,
  Kartik Chandra, Joshua Tenenbaum, Jonathan Ragan-Kelley, and Karima Ma (M
 assachusetts Institute of Technology)\n---------------------\nSIGGesture: 
 Generalized Co-Speech Gesture Synthesis via Semantic Injection with Large-
 Scale Pre-Training Diffusion Models\n\nThe automated synthesis of high-qua
 lity 3D gestures from speech holds significant value for virtual humans an
 d gaming. Previous methods primarily focus on synchronizing gestures with 
 speech rhythm, often neglecting semantic gestures. These semantic gestures
  are sparse and follow a long-tailed distri...\n\n\nQingrong Cheng (Tencen
 t AI Lab, Tencent TIMI L1 Studio) and Xu Li and Xinghui Fu (Tencent AI Lab
 )\n---------------------\nWaveBlender: Practical Sound-Source Animation in
  Blended Domains\n\nSynthesizing plausible sound sources for modern physic
 s-based animation is exceptionally challenging due to complex animated phe
 nomena that form rapidly moving, deforming, and vibrating interfaces which
  produce acoustic waves within the air domain. Not only must the methods s
 ynthesize sounds that ar...\n\n\nKangrui Xue (Stanford University); Jui-Hs
 ien Wang and Timothy Langlois (Adobe Research); and Doug James (Stanford U
 niversity, NVIDIA)\n---------------------\nSpeed-Aware Audio-Driven Speech
  Animation using Adaptive Windows\n\nWe present a novel method that can ge
 nerate realistic speech animations of a 3D face from audio using multiple 
 adaptive windows. In contrast to previous studies that use a fixed size au
 dio window, our method accepts an adaptive audio window as input, reflecti
 ng the audio speaking rate to use consist...\n\n\nSunjin Jung (KAIST, Visu
 al Media Lab); Yeongho Seol (NVIDIA); Kwanggyoon Seo and Hyeonho Na (KAIST
 , Visual Media Lab); Seonghyeon Kim (KAIST, Visual Media Lab; Anigma Techn
 ologies); and Vanessa Tan and Junyong Noh (KAIST, Visual Media Lab)\n\nReg
 istration Category: Full Access, Full Access Supporter\n\nLanguage Format:
  English Language\n\nSession Chair: Yi Zhou (Adobe)
END:VEVENT
END:VCALENDAR