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DTSTAMP:20260817T171516Z
LOCATION:Hall C\, C Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241203T090000
DTEND;TZID=Asia/Tokyo:20241203T120000
UID:siggraphasia_SIGGRAPH Asia 2024_sess223_papers_495@linklings.com
SUMMARY:DARTS: Diffusion Approximated Residual Time Sampling for Time-of-f
 light Rendering in Homogeneous Scattering Media
DESCRIPTION:Qianyue He, Dongyu Du, Haitian Jiang, and Xin Jin (Tsinghua Sh
 enzhen International Graduate School)\n\nTime-of-flight (ToF) devices have
  greatly propelled the advancement of various multi-modal perception appli
 cations. However, achieving accurate rendering of time-resolved informatio
 n remains a challenge, particularly in scenes involving complex geometries
 , diverse materials and participating media. Existing ToF rendering works 
 have demonstrated notable results, yet they struggle with scenes involving
  scattering media and camera-warped settings. Other steady-state volumetri
 c rendering methods exhibit significant bias or variance when directly app
 lied to ToF rendering tasks. To address these challenges, we integrate tra
 nsient diffusion theory into path construction and propose novel sampling 
 methods for free-path distance and scattering direction, via resampled imp
 ortance sampling and offline tabulation. An elliptical sampling method is 
 further adapted to provide controllable vertex connection satisfying any r
 equired photon traversal time. In contrast to the existing temporal unifor
 m sampling strategy, our method is the first to consider the contribution 
 of transient radiance to importance-sample the full path, and thus enables
  improved temporal path construction under multiple scattering settings. T
 he proposed method can be integrated into both path tracing and photon-bas
 ed frameworks, delivering significant improvements in quality and efficien
 cy with at least a 5x MSE reduction versus SOTA methods in equal rendering
  time.\n\nRegistration Category: Enhanced Access, Full Access, Full Access
  Supporter\n\nLanguage Format: English Language\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_495&sess=sess131
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