SOTAVerified

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
3D CoCa: Contrastive Learners are 3D CaptionersCode0
Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based LocalizationCode0
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content CreationCode0
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
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.