Radiance Fields from Photons

• URL: http://arxiv.org/abs/2407.09386v1
• Date: Fri, 12 Jul 2024 16:06:51 GMT
• Title: Radiance Fields from Photons
• Authors: Sacha Jungerman, Mohit Gupta,
• Abstract summary: We introduce quanta radiance fields, a class of neural radiance fields that are trained at the granularity of individual photons using single-photon cameras (SPCs) We demonstrate, both via simulations and a prototype SPC hardware, high-fidelity reconstructions under high-speed motion, in low light, and for extreme dynamic range settings.
• Score: 18.15183252935672
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Neural radiance fields, or NeRFs, have become the de facto approach for high-quality view synthesis from a collection of images captured from multiple viewpoints. However, many issues remain when capturing images in-the-wild under challenging conditions, such as low light, high dynamic range, or rapid motion leading to smeared reconstructions with noticeable artifacts. In this work, we introduce quanta radiance fields, a novel class of neural radiance fields that are trained at the granularity of individual photons using single-photon cameras (SPCs). We develop theory and practical computational techniques for building radiance fields and estimating dense camera poses from unconventional, stochastic, and high-speed binary frame sequences captured by SPCs. We demonstrate, both via simulations and a SPC hardware prototype, high-fidelity reconstructions under high-speed motion, in low light, and for extreme dynamic range settings.

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