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 natural language sentence for …

Dense captioning in 3D point clouds is an emerging vision-and-language task involving
object-level 3D scene understanding. Apart from coarse semantic class prediction and …

Abstract 3D dense captioning is a recently-proposed novel task, where point clouds contain
more geometric information than the 2D counterpart. However, it is also more challenging …

Three-Dimensional (3D) dense captioning is an emerging vision-language bridging task that
aims to generate multiple detailed and accurate descriptions for 3D scenes. It presents …

Abstract 3D dense captioning is the process of generating natural language descriptions for
objects in a 3D scene, represented as RGB-D scans or point clouds. Three problems …

Observing that the 3D captioning task and the 3D grounding task contain both shared and
complementary information in nature, in this work, we propose a unified framework to jointly …

Abstract 3D dense captioning aims to describe individual objects by natural language in 3D
scenes, where 3D scenes are usually represented as RGB-D scans or point clouds …

3D dense captioning stands as a cornerstone in achieving a comprehensive understanding
of 3D scenes through natural language. It has recently witnessed remarkable achievements …

3D dense captioning aims to semantically describe each object detected in a 3D scene,
which plays a significant role in 3D scene understanding. Previous works lack a complete …

Scalable annotation approaches are crucial for constructing extensive 3D-text datasets,
facilitating a broader range of applications. However, existing methods sometimes lead to …