LCD-GS decouples luminance and chromaticity in 3D Gaussian Splatting to handle extreme radiance variations better than prior multi-exposure methods while using a simpler architecture.
Absgs: Recovering fine details in 3d gaussian splat- ting
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
MetroGS combines distributed 2D Gaussian Splatting with structured dense enhancement, progressive hybrid optimization, and depth-guided appearance modeling to deliver higher geometric accuracy and stability in large-scale urban reconstruction.
citing papers explorer
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High Dynamic Range 3D Gaussian Splatting via Luminance-Chromaticity Decomposition
LCD-GS decouples luminance and chromaticity in 3D Gaussian Splatting to handle extreme radiance variations better than prior multi-exposure methods while using a simpler architecture.
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MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes
MetroGS combines distributed 2D Gaussian Splatting with structured dense enhancement, progressive hybrid optimization, and depth-guided appearance modeling to deliver higher geometric accuracy and stability in large-scale urban reconstruction.