3D高斯论文，持续更新，欢迎交流讨论。 Contribute to Awesome3DGS/3D-Gaussian-Splatting-Papers development by creating an account on GitHub.

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months. - MrNeRF/awesome-3D-gaussian-splatting.

3D Gaussian Splatting (3DGS) opens a new window for using neural rendering for real applications. This repo is intended to provide a collection of papers that are related to 3DGS, but not necessarily use 3DGS. In general, 3D Gaussian Splatting …

Search: Enter paper title or author names, then click to clear. Year: Filter by publication year. Tags: Click once to include (blue), twice to exclude (red), third time to remove filter. Selection: Use selection mode to pick and share specific papers. Rohan Chacko, Nicolai Haeni, Eldar Khaliullin, Lin Sun, Douglas Lee.

本项目汇集了3D高斯溅射 (3D Gaussian Splatting)领域的前沿研究论文，涵盖基础理论与实际应用。 收录内容包括多篇综述文章和顶级会议论文，按时间倒序排列。 提供论文中英文摘要和代码链接，为3D场景重建和新视角合成研究提供全面参考。 由于论文数量激增，页面变得过长。 为方便查阅，我们将2024年6月之前的论文暂时 📁 归档 （后续进一步整理），并把最新论文调整为按时间倒序排列。 Due to the rapid increase in the number of papers, the page has become too long.

2024年8月9日 · 该项目是Awesome3DGS团队维护的一个资源集合，主要关注3D高斯散射（Gaussian Splatting）技术在3D视觉领域的应用。 它提供了一个汇总了相关研究论文、代码实现和工具的平台，旨在促进3D视觉技术和用户体验的进步。

2024年1月14日 · 这篇文章介绍了GitHub上的MrNeRF/awesome-3D-gaussian-splatting项目，它是一个精心整理的关于3D高斯斑点渲染的论文和资源列表，旨在跟踪未来几个月内该领域的研究热潮。 GitHub - MrNeRF/awesome-3D-gaussian-splatting: Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months. 文章浏览阅读725次，点赞7次，收藏5次。

Awesome 3D Gaussian Splatting has 2 repositories available. Follow their code on GitHub.

In this work, we propose a novel clothed human reconstruction method called GaussianBody, based on 3D Gaussian Splatting. Compared with the costly neural radiance based models, 3D Gaussian Splatting has recently demonstrated great performance in terms of training time and rendering quality.

本项目整理了3D Gaussian Splatting领域的前沿论文和开源资源,包括自动驾驶、头像生成、压缩优化等多个应用方向,以及实现代码、数据集和教程。 这些资源为研究人员和开发者提供了全面的参考,有助于推动该技术的发展与落地应用。 A curated list of papers and open-source resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.