1 citations · 1 across the 4 of their papers we have counts for
4 papers
MAG-3D: Multi-Agent Grounded Reasoning for 3D Understanding
Henry Zheng, Chenyue Fang, Rui Huang +3
Vision-language models (VLMs) have achieved strong performance in multimodal understanding and reasoning, yet grounded reasoning in 3D scenes remains underexplored. Effective 3D re…
OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation
Zhishan Zhou, Siyuan Wei, Zengran Wang +3
Generalizing open-vocabulary 3D instance segmentation (OV-3DIS) to diverse, unstructured, and mesh-free environments is crucial for robotics and AR/VR, yet remains a significant ch…
Disc3D: Automatic Curation of High-Quality 3D Dialog Data via Discriminative Object Referring
Siyuan Wei, Chunjie Wang, Xiao Liu +3
3D Multi-modal Large Language Models (MLLMs) still lag behind their 2D peers, largely because large-scale, high-quality 3D scene-dialogue datasets remain scarce. Prior efforts hing…
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding
Francis Engelmann, Ayca Takmaz, Jonas Schult +25
This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023. The goal of this wo…