Lune

ICLR2025顶会

Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection

Hongru Yan, Yu Zheng, Yueqi Duan

出版方
2025年份
4顶会引用

摘要

Gaussians (w./o. Surface, >150K) Gaussians (w./o. Surface, >150K) Gaussians (w./ Surface, <50K) Gaussians (w./ Surface, <50K) (a) (c) (d) Figure 1: We leverage Gaussian Splatting as surface representation for multi-view based 3D object detection. Top Left: Gaussians with color and coordinate. Top Right: Gaussians with color, coordinate and surface information, but in a much fewer amount. Bottom (a-b): Object composed of Gaussians exhibits a textured surface as opposed to the top left illustration. Bottom (c-d): However, Gaussian splatting inherently introduces numerous outliers around the object.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper4

问问它们各自怎么用它

它引用的顶会 Paper32

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖