gsplat is an open-source library for CUDA accelerated rasterization of gaussians with python bindings. It is inspired by the SIGGRAPH paper 3D Gaussian Splatting for Real-Time Rendering of Radiance Fields, but we’ve made gsplat even faster, more memory efficient, and with a growing list of new features! Dependence: Please install Pytorch first.

We present billboard Splatting (BBSplat) - a novel approach for novel view synthesis based on textured geometric primitives. BBSplat represents the scene as a set of optimizable textured planar primitives with learnable RGB textures and alpha-maps to control their shape.

2025年2月11日 · This repository contains the official implementation of the paper: DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation, which is accepted to ICLR 2025. DiffSplat is a generative framework to synthesize 3D Gaussian Splats from text prompts & single-view images in 1~2 seconds.

2025年2月6日 · 这篇文章主要介绍了如何将高斯泼溅的splat文件切片成3DTiles格式，以便在Cesium等GIS引擎中高效渲染。 通过GISBox工具实现切片，并讨论了Cesium对KHR_gaussian_splatting扩展的支持。

gsplat is an open-source library for CUDA-accelerated differentiable rasterization of 3D gaussians with Python bindings. It is inspired by the SIGGRAPH paper “3D Gaussian Splatting for Real-Time Rendering of Radiance Fields” [1], but we’ve made gsplat even faster, more memory efficient, and with a growing list of new features!

Easy sharing platform for 3D Gaussian Splatting models. Upload and share your 3D models with anyone.

2025年2月24日 · SuperSplat 2.0正是这样一款专注于3D Gaussian Splats（3DGS）处理和可视化的开源工具，特别适合需要处理3D扫描数据的创业者和开发者。 本文将深入探讨SuperSplat 2.0的核心功能及其商业价值。 1. 面向3D Gaussian Splats技术的开源平台 SuperSplat 2.0为用户提供了一个强大的开源平台，专注于3D Gaussian Splats技术的应用和开发。 2. 主打Web端轻量级处理和展示3D内容 该工具基于WebGL实现，无需安装即可使用，极大地降低了用户的使用门槛，并 …

2024年11月30日 · Our Speedy-Splat approach combines these techniques to accelerate average rendering speed by a drastic $6.71\times$ across scenes from the Mip-NeRF 360, Tanks & Temples, and Deep Blending datasets with $10.6\times$ fewer primitives than 3D-GS.

2024年12月27日 · 在制造业和 质量管理 领域， GRR（Gage Repeatability and Reproducibility） 是衡量测量系统变异性的重要工具。 它能够帮助我们分析测量系统是否足够稳定、可靠，从而确保生产过程中的测量结果具有可信度。 本文将详细介绍GRR的概念、 计算方法 及其在实际项目中的应用。 什么是GRR？ GRR是 Gage Repeatability and Reproducibility 的简称，意为 测试重复性和再现性分析。 它是测量 系统分析 （MSA）的一部分，用于评估测量系统的变异性是否可接受 …

Jonathan Stephens made a fantastic step-by-step tutorial for setting up Gaussian Splatting on your machine, along with instructions for creating usable datasets from videos. If the instructions below are too dry for you, go ahead and check it out here.