With the widespread application of the Transformer architecture in various modalities,
including vision, the technology of large language models is evolving from a single modality …

A unified model for 3D vision-language (3D-VL) understanding is expected to take various
scene representations and perform a wide range of tasks in a 3D scene. However, a …

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

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

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

Recent advancements in language models have demonstrated their adeptness in
conducting multi-turn dialogues and retaining conversational context. However, this …

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 …

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 …

Recent advancements in 3D Large Language Models (LLMs) have demonstrated promising
capabilities for 3D scene understanding. However, previous methods exhibit deficiencies in …

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 …