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ICLR 2025
SeqAfford: Sequential 3D affordance reasoning via Multimodal Large Language Model
TL;DR
This paper introduces Sequential 3D Affordance Reasoning, a task to handle complex user instructions; and presents the SeqAfford model and a 180K instruction-point cloud dataset for enhanced affordance segmentation and reasoning.
摘要
关键词
Multimodal Large Language Model3D Affordance Reasoning
评审与讨论
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