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New Gaussian Representation Accelerates Holography Optimization

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel complex-valued 2D Gaussian representation for computer-generated holography, inspired by Gabor's theory. This new method significantly reduces the parameter search space by a factor of 5:1 compared to per-pixel parameterization. The approach also leads to a 30% reduction in VRAM usage and a 50% acceleration in optimization time, while achieving higher PSNR and rendering speeds up to 3200x faster than existing methods. AI

IMPACT This representation could lead to more scalable hologram estimation in next-generation computer-generated holography systems.

RANK_REASON Academic paper detailing a new representation for computer-generated holography. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Gaussian Representation Accelerates Holography Optimization

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Academic paper detailing a new representation for computer-generated holography. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Yicheng Zhan, Xiangjun Gao, Long Quan, Kaan Ak\c{s}it ·

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

    arXiv:2511.15022v2 Announce Type: replace-cross Abstract: Complex-valued Gaussian primitives have recently been explored for representing holographic radiance fields in 3D novel view synthesis. In this work, we extend this line of research to the hologram optimization domain and …

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