3D dense captioning requires a model to translate its understanding of an input 3D scene
into several captions associated with different object regions. Existing methods adopt a …

Abstract 3D dense captioning aims to generate multiple captions localized with their
associated object regions. Existing methods follow a sophisticated" detect-then-describe" …

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 …

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 …

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 …

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

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 …

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

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 …

Recent work on dense captioning and visual grounding in 3D have achieved impressive
results. Despite developments in both areas, the limited amount of available 3D vision …