计算机科学
渲染(计算机图形)
计算机图形学(图像)
高斯分布
人工智能
计算机视觉
量子力学
物理
作者
Laurens Diels,Michiel Vlaminck,Wilfried Philips,Hiêp Luong
标识
DOI:10.1109/lsp.2024.3521379
摘要
The recently introduced 3D Gaussian Splatting and subsequent methods have achieved significantly reduced inference times for novel view synthesis. To reduce this rendering time even further, in this paper we propose four improvements which are fully compatible with the high-level Gaussian Splatting formulation and can thus be incorporated into most methods based on this paradigm. Most notably, we alter the way Gaussians are duplicated across tiles by allowing for non-square axis-aligned Gaussian bounding boxes whose sizes take into account the Gaussian's opacity information. Our experiments demonstrate that we can decrease the 3D Gaussian Splatting rendering times by up to a factor of almost 4.
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