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DTSTAMP:20240214T070250Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T145500
DTEND;TZID=Australia/Melbourne:20231215T150500
UID:siggraphasia_SIGGRAPH Asia 2023_sess138_papers_193@linklings.com
SUMMARY:Self-Calibrating, Fully Differentiable NLOS Inverse Rendering
DESCRIPTION:Technical Papers\n\nKiseok Choi, Inchul Kim, and Dongyoung Cho
 i (Korea Advanced Institute of Science and Technology (KAIST)); Julio Marc
 o and Diego Gutierrez (Universidad de Zaragoza - I3A); and Min H. Kim (Kor
 ea Advanced Institute of Science and Technology (KAIST))\n\nExisting time-
 resolved non-line-of-sight (NLOS) imaging methods reconstruct hidden scene
 s by inverting the optical paths of indirect illumination measured at visi
 ble relay surfaces. These methods are prone to reconstruction artifacts du
 e to inversion ambiguities and capture noise, which are typically mitigate
 d through the manual selection of filtering functions and parameters. We i
 ntroduce a fully-differentiable end-to-end NLOS inverse rendering pipeline
  that self-calibrates the imaging parameters during the reconstruction of 
 hidden scenes, using as input only the measured illumination while working
  both in the time and frequency domains. Our pipeline extracts a geometric
  representation of the hidden scene from NLOS volumetric intensities and e
 stimates the time-resolved illumination at the relay wall produced by such
  geometric information using differentiable transient rendering. We then u
 se gradient descent to optimize imaging parameters by minimizing the error
  between our simulated time-resolved illumination and the measured illumin
 ation. To make our pipeline efficient and differentiable, we combine diffr
 action-based imaging with path-space light transport and a simple ray marc
 hing technique for surface extraction. Unlike the majority of previous wor
 ks, our method extracts detailed, dense sets of surface points and normals
  of the hidden scene. Our results demonstrate the robustness of our method
  to consistently reconstruct geometry and albedo, even with significant no
 ise interference.\n\nRegistration Category: Full Access\n\nSession Chair: 
 Seung-Hwan Baek (POSTECH)
URL:https://asia.siggraph.org/2023/full-program?id=papers_193&sess=sess138
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