City-scale 3D point cloud is a promising way to express detailed and complicated outdoor
structures. It encompasses both the appearance and geometry features of segmented city …

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 …

The field of human-computer interaction is expanding, especially within the domain of
intelligent technologies. Scene understanding, which entails the generation of advanced …

Open-Vocab 3D Instance Segmentation methods (OV-3DIS) have recently demonstrated
their ability to generalize to unseen objects. However, these methods still depend on …

3D Visual Grounding (3DVG) and 3D Dense Captioning (3DDC) are two crucial tasks in
various 3D applications, which require both shared and complementary information in …

We present a novel task for cross-dataset visual grounding in 3D scenes (Cross3DVG),
which overcomes limitations of existing 3D visual grounding models, specifically their …

We demonstrate the utility of recurring pattern discovery from a single image for spatial
understanding of a 3D scene in terms of (1) vanishing point detection,(2) hypothesizing 3D …

Abstract 3D dense captioning aims at generating more detailed and accurate descriptions
for objects in a 3D scene. Since the one-stage (detect-and-describe) model does not have a …

As an emergent task bridging vision and language, Language-grounded Multimodal 3D
Scene Understanding (3D-LMSU) has attracted significant interest across various domains …

In this supplementary for SpaCap3D [Wang et al., 2022], we provide more details of the
learnable positional encoding in Section 1. We visualize the attention mechanism used in …