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Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning
Abstract Recent progress in Large Multimodal Models (LMM) has opened up great
possibilities for various applications in the field of human-machine interactions. However …
possibilities for various applications in the field of human-machine interactions. However …
Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario
We introduce a novel visual question answering (VQA) task in the context of autonomous
driving, aiming to answer natural language questions based on street-view clues. Compared …
driving, aiming to answer natural language questions based on street-view clues. Compared …
Shapellm: Universal 3d object understanding for embodied interaction
This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM)
designed for embodied interaction, exploring a universal 3D object understanding with 3D …
designed for embodied interaction, exploring a universal 3D object understanding with 3D …
An embodied generalist agent in 3d world
Leveraging massive knowledge from large language models (LLMs), recent machine
learning models show notable successes in general-purpose task solving in diverse …
learning models show notable successes in general-purpose task solving in diverse …