6 papers
Clustered Codebook Quantization for 2D Gaussian-based Image Compression
Runze Cheng, Yicheng Zhan, Josef Spjut +1
Gaussian-based image representations effectively model image content using compact parametric primitives while preserving high visual fidelity, yet storing a large number of floati…
Complex-Valued 2D Gaussian Representation for Computer-Generated Holography
Yicheng Zhan, Xiangjun Gao, Long Quan +1
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 researc…
Configurable Holography: Towards Display and Scene Adaptation
Yicheng Zhan, Liang Shi, Wojciech Matusik +2
Rendering holograms for holographic displays is often an iterative and computationally costly process. Emerging learned holography methods have alleviated this bottleneck by enabli…
Complex-Valued Holographic Radiance Fields
Yicheng Zhan, Dong-Ha Shin, Seung-Hwan Baek +1
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…
Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network
Yicheng Zhan, Fahim Ahmed, Amy Burrell +4
Effective crime linkage analysis is crucial for identifying serial offenders and enhancing public safety. To address limitations of traditional crime linkage methods in handling hi…
Assessing Learned Models for Phase-only Hologram Compression
Zicong Peng, Yicheng Zhan, Josef Spjut +1
We evaluate the performance of four common learned models utilizing INR and VAE structures for compressing phase-only holograms in holographic displays. The evaluated models includ…