Oct 8, 2022 · In this paper, we make the first attempt to utilize the point clouds clustering features as the contextual information to supply the non-object ...
This paper makes the first attempt to utilize the point clouds clustering features as the contextual information to supply the non-object details and ...
3D dense captioning is a recently-proposed novel task, where point clouds contain more geometric information than the 2D counterpart. 1. Paper · Code ...
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3D dense captioning, as an emerging vision-language task, aims to identify and locate each object from a set of point clouds and generate a distinctive ...
Abstract. Dense captioning in 3D point clouds is an emerg- ing vision-and-language task involving object-level. 3D scene understanding.
3D dense captioning, as an emerging vision-language task, aims to identify and locate each object from a set of point clouds and generate a distinctive ...
Contextual Modeling for 3D Dense Captioning on Point Clouds ... With such global and local contextual modeling strategies, our proposed model can effectively ...
Mar 12, 2024 · CM3D [29] aimed to incorporate contextual knowledge from point clouds into 3D dense captioning. ... The input to the model is a 3D point cloud ...
Nov 14, 2023 · Jiao et al. (2022) aimed to improve 3D dense captioning by capturing and utilizing complex relations within the 3D scene. They proposed MORE, a ...
We introduce the task of dense captioning in 3D scans from commodity RGB-D sensors. As input, we assume a point cloud of a 3D scene; the expected output is ...
Missing: Contextual Modeling