从下图也可以看到NeRF和Gaussian在概念上的区别,左边是NeRF沿着光线查询连续 MLP,右边是Gaussian一组与给定光线相关的离散的高斯分布 difference between NeRF and Gaussian Splatting 首先简单介绍一下,3DGS是如何表示真实场景的,前面也有提过,在Gaussian Splatting中,3D世界用一组3D点表示,实际上是数百万个,大致在0.5...
与此形成鲜明对比的是,3D高斯函数渲染(3D GS)首先将这些3D高斯函数投影到基于像素的图像平面上,这个过程被称为“splatting”。随后,3D GS对这些高斯函数进行排序,并计算每个像素的值。NeRF和3D GS的渲染过程可以看作是彼此的逆过程。作者首先定义3D高斯,它是3D GS场景表示中的最小元素。然后,作者将描述如何使用...
Writers:Guikun Chen, Wenguan Wang PDF:A Survey on 3D Gaussian Splatting Abstract 3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the explicit radiance field and computer graphics landscape. This innovative approach, characterized by the utilization of millions of ...
《A Survey on 3D Gaussian Splatting》综述了3D GS技术的核心要点如下：技术背景与重要性：3D GS技术作为一种新型的显式辐射场表示方法，在计算机图形学与显式辐射场研究中受到广泛关注。与隐式表示的NeRF技术不同，3D GS使用数百万个三维高斯体实现场景的显式表示，提供实时渲染可能，并大幅提升场景控...
Explore 3D Gaussian Splatting in V-Ray 7- a breakthrough technique for ultra-realistic, efficient rendering. Discover how it transforms visual workflows.
Mainstream sparse view 3D reconstruction algorithms based on the NeRF framework struggle to balance generation quality and real-time performance. Recently, the advent of 3D Gaussian Splatting technology has demonstrated remarkable results, becoming increasingly prominent in 3D scene representation and ...
Chen GK, Wang WG (2024) A survey on 3D Gaussian splatting. arXiv preprint Chen YR, Gu C, Jiang JZ, Zhu XT, Zhang L (2023). Periodic vibration Gaussian: dynamic urban scene reconstruction and real-time rendering. arXiv preprint
尽管NeRF及其变体有潜力捕捉场景的3D几何,这些模型是隐式定义在神经网络权重中的。通过3D网格获得场景的显式表示对于3D重建应用是可取的。以NeRF为起点,实现粗略场景几何的一种基本方法是对MLP预测的密度进行阈值处理。更高级的解决方案探索了三种主要表示:
A fast, realistic 3D model that’s great for visualization. Same dataset, different outputs in PIX4Dcloud: on the left, a 3D mesh. On the right, a Gaussian splatting reconstruction—both processed from data captured with PIX4Dcatch.
3DGS SurveysA Survey on 3D Gaussian Splatting Guikun Chen, Wenguan Wang arXiv preprint, 8 Jan 2024 [arXiv]3D Gaussian as a New Vision Era: A Survey Ben Fei, Jingyi Xu, Rui Zhang, Qingyuan Zhou, Weidong Yang, Ying He arXiv preprint, 11 Feb 2024 [arXiv]...