【FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects】 项目主页:https://nvlabs.github.io/FoundationPose/ 文章链接:http://arxiv.org/abs/2312.08344 开源代码:https://github.com/NVlabs/FoundationPose 本文提出了一种用于6D物体位姿估计和跟踪的统一基础模型FoundationPose,支持基于模型和...
implement some algorithms of 6d pose estimation. Contribute to meiqua/6DPose development by creating an account on GitHub.
1、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion (CVPR2019) 原文链接:https://arxiv.org/abs/1901.04780 代码链接:https://github.com/j96w/DenseFusion 主要思想:用于从RGB-D图像中估计一组已知对象的6D位姿,分别处理两个数据源,并使用一种新的dense fusion network来提取像素级的 densefea...
Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022. - megapose6d/megapose6d
6D Object Pose Estimation by Iterative Dense Fusion 原文链接:https://arxiv.org/abs/1901.04780 代码链接:https://github.com/j96w/DenseFusion 主要思想: 用于从RGB-D图像中估计一组已知对象的6D位姿,分别处理两个数据源,并使用一种新的dense fusion network来提取像素级的...
【FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects】 项目主页:https://nvlabs.github.io/FoundationPose/ 文章链接:http://arxiv.org/abs/2312.08344 开源代码:https://github.com/NVlabs/FoundationPose 本文提出了一种用于6D物体位姿估计和跟踪的统一基础模型FoundationPose,支持基于模型和...
代码链接: https://github.com/JiehongLin/SAM-6D SAM-6D 通过两个步骤来实现零样本 6D 物体姿态估计,包括实例分割和姿态估计。相应地,给定任意目标物体,SAM-6D 利用两个专用子网络,即实例分割模型(ISM)和姿态估计模型(PEM),来从 RGB-D 场景图像中实现目标;其中,ISM 将 SAM 作为一个优秀的起点,结合精心设计...
几篇论文实现代码:《6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model》(ECCV 2024) GitHub: github.com/mbortolon97/6dgs 《GS2Mesh: Surface Reconstruction from Gaussian ...
论文:FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects 论文地址:https://arxiv.org/abs/2312.08344 项目主页:https://nvlabs.github.io/FoundationPose/ 项目代码:https://github.com/NVlabs/FoundationPose 总的来说,该研究的主要贡献包括: ...
相关论文为:FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects,代码已开源。 论文地址:https://arxiv.org/abs/2312.08344 项目主页:https://nvlabs.github.io/FoundationPose/ 项目代码:https://github.com/NVlabs/FoundationPose