Learned Display Radiance Fields with Lensless Cameras

Ziyang Chen; Yuta Itoh; Kaan Akşit

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arXiv · 2510.03356

Learned Display Radiance Fields with Lensless Cameras

Ziyang Chen·Yuta Itoh·Kaan Akşit

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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{\deg} X 37.6{\deg}. Our emerging pipeline paves the initial steps towards effortless display calibration and characterization.

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Ziyang Chen, Yuta Itoh, Kaan Akşit. 2025-10-02. Learned Display Radiance Fields with Lensless Cameras. https://arxiv.org/abs/2510.03356

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