Learned Display Radiance Fields with Lensless Cameras

Ziyang Chen, Yuta Itoh, Kaan Akşit
10/2/2025
cs.CVcs.ET

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Abstract

Calibrating displays is a basic and regular task that content creators must perform to maintain optimal visual experience, yet it remains a troublesome issue. Measuring display characteristics from different viewpoints often requires specialized equipment and a dark room, making it inaccessible to most users. To avoid specialized hardware requirements in display calibrations, our work co-designs a lensless camera and an Implicit Neural Representation based algorithm for capturing display characteristics from various viewpoints. More specifically, our pipeline enables efficient reconstruction of light fields emitted from a display from a viewing cone of 46.6° X 37.6°. Our emerging pipeline paves the initial steps towards effortless display calibration and characterization.

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Cite this paper

@article{chen2025learned,
  title  = {Learned Display Radiance Fields with Lensless Cameras},
  author = {Ziyang Chen and Yuta Itoh and Kaan Akşit},
  year   = {2025},
  eprint = {2510.03356},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.03356v2}
}

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