RaySplats：基于光线追踪的 Gaussian Splatting
RaySplats: Ray Tracing based Gaussian Splatting
AI总结：
针对3DGS因光栅化难以处理光影的问题，本文提出RaySplats模型，通过光线追踪机制直接作用于带RGB颜色的Gaussian基元，计算椭圆与光线交点以实现光影等效果。
摘要：
3D Gaussian Splatting (3DGS) 是一种能够直接从 2D 图像创建 3D 对象的过程。这种表示方法具有诸多优势，包括快速训练和渲染。然而，3DGS 的一个显著局限是难以融入光线和阴影反射，主要原因是其渲染使用的是光栅化而非光线追踪。本文提出了 RaySplats，一种采用基于光线追踪的 Gaussian Splatting 的模型。我们的方法不利用高斯投影，而是采用光线追踪机制，直接作用于由带有 RGB 颜色的置信椭圆表示的 Gaussian 基元。具体实践中，我们计算椭圆与光线之间的交点来构建光线追踪算法，从而便于将网格与 Gaussian Splatting 模型相结合，并添加光线、阴影及其他相关效果。
英文摘要：
3D Gaussian Splatting (3DGS) is a process that enables the direct creation of 3D objects from 2D images. This representation offers numerous advantages, including rapid training and rendering. However, a significant limitation of 3DGS is the challenge of incorporating light and shadow reflections, primarily due to the utilization of rasterization rather than ray tracing for rendering. This paper introduces RaySplats, a model that employs ray-tracing based Gaussian Splatting. Rather than utilizing the projection of Gaussians, our method employs a ray-tracing mechanism, operating directly on Gaussian primitives represented by confidence ellipses with RGB colors. In practice, we compute the intersection between ellipses and rays to construct ray-tracing algorithms, facilitating the incorporation of meshes with Gaussian Splatting models and the addition of lights, shadows, and other related effects.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
