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VisibilitySplat 增强 3D Gaussian Splatting 以用于逆向渲染

研究人员开发了 VisibilitySplat,这是一种增强 3D Gaussian Splatting (3DGS) 用于逆向渲染任务的新颖方法。该方法将显式可见性建模集成到标准的 3DGS 流程中,从而实现更准确的重照明、材质分解和光照分离。该系统利用稀疏可见性预言机,通过基于点的光线追踪器实现,来估计高斯图元的透射率加权遮挡。在合成数据集上进行评估,VisibilitySplat 在新视图合成和反照率重建方面表现出具有竞争力的性能,优于现有方法。 AI

影响 引入了一种新的逆向渲染技术,可以提高 3D 图形和场景重建的真实感。

排序理由 详细介绍计算机视觉新方法的学术论文。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

VisibilitySplat 增强 3D Gaussian Splatting 以用于逆向渲染

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详细介绍计算机视觉新方法的学术论文。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Sven Kluge, Oliver Staadt ·

    VisibilitySplat: 用于 3D 高斯泼溅重照明的光线追踪遮挡

    arXiv:2610.19847v1 Announce Type: new Abstract: We address inverse rendering with 3D Gaussian Splatting (3DGS) by introducing explicit visibility modeling for relighting as well as material and light decomposition. Our approach augments the standard rasterized 3DGS pipeline with …