Complex-Valued Holographic Radiance Fields

Fuente: arXiv
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Main Authors: Zhan, Yicheng, Shin, Dong-Ha, Baek, Seung-Hwan, Akşit, Kaan
Format: Preprint
Published: 2025
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author Zhan, Yicheng
Shin, Dong-Ha
Baek, Seung-Hwan
Akşit, Kaan
author_facet Zhan, Yicheng
Shin, Dong-Ha
Baek, Seung-Hwan
Akşit, Kaan
contents Modeling wave properties of light is an important milestone for advancing physically-based rendering. In this paper, we propose complex-valued holographic radiance fields, a method that optimizes scenes without relying on intensity-based intermediaries. By leveraging multi-view images, our method directly optimizes a scene representation using complex-valued Gaussian primitives representing amplitude and phase values aligned with the scene geometry. Our approach eliminates the need for computationally expensive holographic rendering that typically utilizes a single view of a given scene. This accelerates holographic rendering speed by 30x-10,000x while achieving on-par image quality with state-of-the-art holography methods, representing a promising step towards bridging the representation gap between modeling wave properties of light and 3D geometry of scenes.
format Preprint
id arxiv_https___arxiv_org_abs_2506_08350
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Complex-Valued Holographic Radiance Fields
Zhan, Yicheng
Shin, Dong-Ha
Baek, Seung-Hwan
Akşit, Kaan
Graphics
Computer Vision and Pattern Recognition
Emerging Technologies
Modeling wave properties of light is an important milestone for advancing physically-based rendering. In this paper, we propose complex-valued holographic radiance fields, a method that optimizes scenes without relying on intensity-based intermediaries. By leveraging multi-view images, our method directly optimizes a scene representation using complex-valued Gaussian primitives representing amplitude and phase values aligned with the scene geometry. Our approach eliminates the need for computationally expensive holographic rendering that typically utilizes a single view of a given scene. This accelerates holographic rendering speed by 30x-10,000x while achieving on-par image quality with state-of-the-art holography methods, representing a promising step towards bridging the representation gap between modeling wave properties of light and 3D geometry of scenes.
title Complex-Valued Holographic Radiance Fields
topic Graphics
Computer Vision and Pattern Recognition
Emerging Technologies
url https://arxiv.org/abs/2506.08350