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DTSTAMP:20240214T070248Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T155500
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UID:siggraphasia_SIGGRAPH Asia 2023_sess158_papers_868@linklings.com
SUMMARY:Thin On-Sensor Nanophotonic Array Cameras
DESCRIPTION:Technical Papers\n\nPraneeth Chakravarthula (Princeton Univers
 ity); Jipeng Sun (Princeton University, Northwestern University); Xiao Li,
  Chenyang Lei, Gene Chou, and Mario Bijelic (Princeton University); Johann
 es Froesch and Arka Majumdar (University of Washington); and Felix Heide (
 Princeton University)\n\nToday's commodity camera systems rely on compound
  optical systems to map light originating from the scene to positions on t
 he sensor where it gets recorded as an image. To achieve an accurate mappi
 ng without optical aberrations, i.e., deviations from Gauss' linear optics
  model, typical lens systems introduce increasingly complex stacks of opti
 cal elements responsible for the height of existing commodity cameras. In 
 this work, we investigate flat nanophotonic computational cameras as an al
 ternative that employs an array of skewed lenslets and a learned reconstru
 ction method. The optical array is embedded in a metasurface that, at 700n
 m height, is flat and sits on the sensor cover glass at a 2mm focal distan
 ce from the sensor. To tackle the highly chromatic response of a metasurfa
 ce and design an array over the entire sensor, we propose a differentiable
  optimization method that samples continuously over the spectrum and that 
 factorizes the optical modulation for different optical fields into indivi
 dual lenses of an array. We reconstruct a megapixel image from our flat im
 ager with a learned probabilistic reconstruction method that employs a gen
 erative diffusion model to sample an implicit prior. To tackle scene-depen
 dent aberrations in broadband, we propose a method for acquiring paired re
 al-world training data in diverse illumination conditions. We assess the p
 roposed flat camera design in simulation and with an experimental prototyp
 e, validating that the method is capable of recovering high-quality images
  outside the lab in broadband with a single flat metasurface optic.\n\nReg
 istration Category: Full Access\n\nSession Chair: Jae-Ho Nah (Sangmyung Un
 iversity)
URL:https://asia.siggraph.org/2023/full-program?id=papers_868&sess=sess158
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