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DTSTAMP:20240214T070242Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_268@linklings.com
SUMMARY:Warped-Area Reparameterization of Differential Path Integrals
DESCRIPTION:Technical Papers\n\nPeiyu Xu (University of California Irvine)
 , Sai Bangaru (MIT CSAIL), Tzu-Mao Li (University of California San Diego)
 , and Shuang Zhao (University of California Irvine)\n\nPhysics-based diffe
 rentiable rendering is becoming increasingly crucial for tasks in inverse 
 rendering and machine learning pipelines. To address discontinuities cause
 d by geometric boundaries and occlusion, two classes of methods have been 
 proposed: 1) the edge sampling methods that directly sample light paths at
  the scene discontinuity boundaries, which require nontrivial data structu
 res and precomputation to select the edges, and 2) the reparameterization 
 methods that avoid discontinuity sampling but are currently limited to hem
 ispherical integrals and unidirectional path tracing.\n\nWe introduce a ne
 w mathematical formulation that enjoys the benefits of both classes of met
 hods. Unlike previous reparameterization work that focused on hemispherica
 l integral, we derive the reparameterization in the path space. As a resul
 t, to estimate derivatives using our formulation, we can apply advanced Mo
 nte Carlo rendering methods, such as bidirectional path tracing, while avo
 iding explicit sampling of discontinuity boundaries. We show differentiabl
 e rendering and inverse rendering results to demonstrate the effectiveness
  of our method.\n\nRegistration Category: Full Access, Enhanced Access, Tr
 ade Exhibitor, Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_268&sess=sess209
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