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DTSTAMP:20250110T023313Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241206T132800
DTEND;TZID=Asia/Tokyo:20241206T134200
UID:siggraphasia_SIGGRAPH Asia 2024_sess147_papers_1205@linklings.com
SUMMARY:WaveBlender: Practical Sound-Source Animation in Blended Domains
DESCRIPTION:Technical Papers\n\nKangrui Xue (Stanford University); Jui-Hsi
 en Wang and Timothy Langlois (Adobe Research); and Doug James (Stanford Un
 iversity, NVIDIA)\n\nSynthesizing plausible sound sources for modern physi
 cs-based animation is exceptionally challenging due to complex animated ph
 enomena that form rapidly moving, deforming, and vibrating interfaces whic
 h produce acoustic waves within the air domain. Not only must the methods 
 synthesize sounds that are faithful and free of digital artifacts, but, in
  order to be practical, the methods must also be fast, easy to implement, 
 and support fast parallel hardware. Unfortunately, no current solutions ca
 n satisfy these many conflicting constraints.\n\nIn this paper, we introdu
 ce WaveBlender, a simple and fast GPU-accelerated finite-different time-do
 main (FDTD) acoustic wavesolver for simulating popular physics-based anima
 tion sound sources on uniform grids. To resolve continuously moving and de
 forming solid- or fluid-air interfaces on uniform grids, we derive a novel
  scheme that can temporally blend between two subsequent finite-difference
  discretizations. Our 𝛽-blending scheme requires minimal modification of t
 he original FDTD update equations along with only a single new blending pa
 rameter, 𝛽, defined at cell centers and modified velocity-level boundary c
 onditions. WaveBlender is able to convincingly synthesize sounds for a var
 iety of physics-based animation sound sources (water, modal, thin shells, 
 kinematic deformers, and re-recording), along with point-like sound source
 s for tiny rigid bodies. Our solver is robust across different resolutions
 , achieves good GPU parallelization, and is over an order-of-magnitude fas
 ter than prior CPU-based wavesolvers for these animation sound problems.\n
 \nRegistration Category: Full Access, Full Access Supporter\n\nLanguage Fo
 rmat: English Language\n\nSession Chair: Yi Zhou (Adobe)
URL:https://asia.siggraph.org/2024/program/?id=papers_1205&sess=sess147
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