Complex-Valued 2D Gaussian Representation for Computer-Generated Holography

• URL: http://arxiv.org/abs/2511.15022v1
• Date: Wed, 19 Nov 2025 01:41:14 GMT
• Title: Complex-Valued 2D Gaussian Representation for Computer-Generated Holography
• Authors: Yicheng Zhan, Xiangjun Gao, Long Quan, Kaan Akşit,
• Abstract summary: We propose a new hologram representation based on structured complex-valued 2D Gaussian primitives.<n>By reducing the hologram parameter search space, our representation enables a more scalable hologram estimation in the next-generation computer-generated holography systems.
• Score: 8.809623258601201
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We propose a new hologram representation based on structured complex-valued 2D Gaussian primitives, which replaces per-pixel information storage and reduces the parameter search space by up to 10:1. To enable end-to-end training, we develop a differentiable rasterizer for our representation, integrated with a GPU-optimized light propagation kernel in free space. Our extensive experiments show that our method achieves up to 2.5x lower VRAM usage and 50% faster optimization while producing higher-fidelity reconstructions than existing methods. We further introduce a conversion procedure that adapts our representation to practical hologram formats, including smooth and random phase-only holograms. Our experiments show that this procedure can effectively suppress noise artifacts observed in previous methods. By reducing the hologram parameter search space, our representation enables a more scalable hologram estimation in the next-generation computer-generated holography systems.

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