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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
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes0
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and PlanningCode3
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and PlanningCode2
An Embodied Generalist Agent in 3D WorldCode2
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense CaptioningCode1
End-to-End 3D Dense Captioning with Vote2Cap-DETRCode1
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-TrainingCode1
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding0
Contextual Modeling for 3D Dense Captioning on Point Clouds0
0/1 Deep Neural Networks via Block Coordinate Descent0
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