Complex-Valued Holographic Radiance Fields
Yicheng Zhan, Dong-Ha Shin, Seung-Hwan Baek, Kaan Ak\c{s}it

TL;DR
This paper introduces complex-valued holographic radiance fields that directly optimize scene representations using multi-view images, significantly accelerating holographic rendering while maintaining high image quality, advancing physically-based rendering of wave properties.
Contribution
It proposes a novel complex-valued scene representation that eliminates the need for holographic rendering intermediaries, enabling faster and more accurate wave-based scene modeling.
Findings
Achieves 30x-10,000x faster holographic rendering speeds.
Maintains state-of-the-art image quality in holography.
Provides a new method for wave-based scene modeling.
Abstract
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.
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Taxonomy
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
