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DTSTAMP:20260817T171533Z
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:Kangrui Xue (Stanford University); Jui-Hsien Wang and Timothy 
 Langlois (Adobe Research); and Doug James (Stanford University, NVIDIA)\n\
 nSynthesizing plausible sound sources for modern physics-based animation i
 s exceptionally challenging due to complex animated phenomena that form ra
 pidly moving, deforming, and vibrating interfaces which produce acoustic w
 aves within the air domain. Not only must the methods synthesize sounds th
 at are faithful and free of digital artifacts, but, in order to be practic
 al, the methods must also be fast, easy to implement, and support fast par
 allel hardware. Unfortunately, no current solutions can satisfy these many
  conflicting constraints.\n\nIn this paper, we introduce WaveBlender, a si
 mple and fast GPU-accelerated finite-different time-domain (FDTD) acoustic
  wavesolver for simulating popular physics-based animation sound sources o
 n uniform grids. To resolve continuously moving and deforming solid- or fl
 uid-air interfaces on uniform grids, we derive a novel scheme that can tem
 porally blend between two subsequent finite-difference discretizations. Ou
 r 𝛽-blending scheme requires minimal modification of the original FDTD upd
 ate equations along with only a single new blending parameter, 𝛽, defined 
 at cell centers and modified velocity-level boundary conditions. WaveBlend
 er is able to convincingly synthesize sounds for a variety of physics-base
 d animation sound sources (water, modal, thin shells, kinematic deformers,
  and re-recording), along with point-like sound sources for tiny rigid bod
 ies. Our solver is robust across different resolutions, achieves good GPU 
 parallelization, and is over an order-of-magnitude faster than prior CPU-b
 ased wavesolvers for these animation sound problems.\n\nRegistration Categ
 ory: Full Access, Full Access Supporter\n\nLanguage Format: English Langua
 ge\n\nSession Chair: Yi Zhou (Roblox)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_1205&sess=sess147
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