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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_420@linklings.com
SUMMARY:Efficient Differentiation of Pixel Reconstruction Filters for Path
 -Space Differentiable Rendering
DESCRIPTION:Technical Papers\n\nEfficient Differentiation of Pixel Reconst
 ruction Filters for Path-Space Differentiable Rendering\n\nYu, Zhang, Dong
 , Nowrouzezahrai, Zhao\n\nPixel reconstruction filters play an important r
 ole in physics-based rendering and have been thoroughly studied. In physic
 s-based differentiable rendering, however, the proper treatment of pixel r
 econstruction filters has remained largely under-explored. We present a ne
 w technique to efficiently differentiate pixel reconstruction filters base
 d on the path-space formulation. Specifically, we formulate the pixel boun
 dary integral that models discontinuities in pixel filters and introduce n
 ew antithetic sampling methods that support differentiable path sampling m
 ethods, such as adjoint particle tracing and bidirectional path tracing. W
 e demonstrate both the need and efficacy of antithetic sampling when treat
 ing this integral, and we evaluate the effectiveness of our method across 
 several differentiable- and inverse-rendering settings.\n\nRegistration Ca
 tegory: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE ACCESS, TRADE EXHI
 BITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_420&sess=sess15
 3
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