
SuperSplat | PlayCanvas
SuperSplat is the ultimate tool for editing and optimizing 3D Gaussian Splats. Clean up your splats with powerful selection tools wrapped up in an easy-to-use interface. SuperSplat is built on the powerful PlayCanvas Engine runtime and the PCUI front-end framework.
GitHub - nerfstudio-project/gsplat: CUDA accelerated …
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.
Splats | 8th Wall
Gaussian splatting allows you to capture the essence of a real-world scene using just your smartphone and render it as a fully immersive 3D model, viewable in WebAR. This technique revolutionizes how we bring real-world objects and places into digital experiences by using splats instead of traditional meshes. How is it different from a mesh?
qimaqi/ShapeSplat-Gaussian_MAE - GitHub
2024年8月20日 · 3D Gaussian Splatting (3DGS) has become the de facto method of 3D representation in many vision tasks. This calls for the 3D understanding directly in this representation space. To facilitate the research in this direction, we first build a large-scale dataset of 3DGS using the commonly used ShapeNet and ModelNet datasets.
Xarnder/GaussianSplatGuide - GitHub
Originating as a revitalized method for real-time rendering presented at Siggraph 2023, Gaussian Splatting has significantly shifted the paradigm of 3D data visualization. This method diverges from traditional rasterization techniques, which construct scenes using an extensive network of vertices and faces.
DROID-Splat:结合端到端SLAM和3DGaussian Splatting
在本文中,我们介绍了一种基于端到端跟踪器的SLAM系统,并通过结合最新的三维高斯溅射(3D Gaussian Splatting)技术的渲染器对其进行了扩展。 我们的框架DroidSplat在常见的SLAM基准测试中实现了最先进的跟踪和渲染结果。 我们实现了现代SLAM系统的多个构建模块并行运行,从而能够在普通消费级图形处理器(GPU)上进行快速推理。 单目深度预测和相机校准领域的最新进展使我们的系统即使在没有已知相机内参的野外数据上也能取得优异结果。 代码将 …
A Comprehensive Introduction and Overview of Gaussian Splats, …
The simplicity of Gaussian splats enhances interpretability and ease of implementation compared to the intricate multi-layer perceptrons used in NeRFs. A Gaussian Splat renderer can easily be written in Javascript and WebGL without any neural network code. However, Gaussian splats also have their disadvantages.
推荐开源项目:SuperSplat - 高级散射贴图编辑工具 - GitCode博客
SuperSplat是一款由PlayCanvas团队开发的高级散射贴图编辑工具,专用于处理Gaussian Splat PLY文件。 它提供了直观的交互界面和强大的编辑功能,让3D场景的设计与优化变得更加简单。
Splatting-抛雪球法 - CSDN博客
2020年7月9日 · 抛雪球算法的英文名称为Splatting方法,也称为足迹法(Footprint),它与光线投射法不同,是反复对体素的投影叠加效果进行运算。 它用一个称为足迹的 函数 计算每一体素投影的影响范围,用高斯函数定义点或者小区域 像素 的强度分布,从而计算出其对图像的总体贡献,并加以合成,形成最后的图像。 由于这个方法模仿了雪球被抛到墙壁上所留下的一个扩散状痕迹的现象,因而取名为“抛雪球法”。 抛雪球法的最初工作是由Westover 提出的,它是一种以物 …
【LSS: Lift, Splat, Shoot】代码的复现与详细解读 - CSDN博客
在项目文件夹下新建一个 runs 的目录,用来存放训练时的日志信息。 在服务器上打开tensorboard。 其中 log_dir 是网络训练时自己指定的日志目录, 比如: ./runs. 然后新建一个隧道,并进行配置。 我们按照代码的执行逻辑来拆开理解。 main.py 文件是 函数 的执行入口。 Fire (python Fire 的使用指南)通过使用字典格式,选择函数暴露给命令行。 当命令行参数传入 eval_model_iou ,程序就开始执行 src/explore.py 文件下的 eval_model_iou 函数。
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