Leveraging massive knowledge and learning schemes from large language models (LLMs),
recent machine learning models show notable successes in building generalist agents that …

Large 2D vision-language models (2D-LLMs) have gained significant attention by bridging
Large Language Models (LLMs) with images using a simple projector. Inspired by their …

Although great progress has been made in 3D visual grounding, current models still rely on
explicit textual descriptions for grounding and lack the ability to reason human intentions …

3D dense captioning stands as a cornerstone in achieving a comprehensive understanding
of 3D scenes through natural language. It has recently witnessed remarkable achievements …

In the past decade, deep neural networks have achieved significant progress in point cloud
learning. However, collecting large-scale precisely-annotated point clouds is extremely …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Prior studies on 3D scene understanding have primarily developed specialized models for
specific tasks or required task-specific fine-tuning. In this study, we propose Grounded 3D …

The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed,
and storage efficiency, which is widely preferred in various applications. However, given its …

Scalable annotation approaches are crucial for constructing extensive 3D-text datasets,
facilitating a broader range of applications. However, existing methods sometimes lead to …

As large language models (LLMs) evolve, their integration with 3D spatial data (3D-LLMs)
has seen rapid progress, offering unprecedented capabilities for understanding and …