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3D dense captioning

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 bounding box regression as in traditional 3D object detection, 3D dense captioning aims at producing a further and finer instance-level label of natural language description on visual appearance and spatial relations for each scene object of interest.

Papers

Showing 1120 of 26 papers

TitleStatusHype
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans0
See It All: Contextualized Late Aggregation for 3D Dense Captioning0
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving0
3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds0
3D Scene Graph Guided Vision-Language Pre-training0
3D Spatial Understanding in MLLMs: Disambiguation and Evaluation0
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes0
Bi-directional Contextual Attention for 3D Dense Captioning0
Complete 3d relationships extraction modality alignment network for 3d dense captioning0
Contextual Modeling for 3D Dense Captioning on Point Clouds0
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