SeqAfford combines a 3D multimodal large language model with special segmentation tokens to decompose complex instructions into ordered affordance masks, and the authors present a 180K-pair benchmark for this task.
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SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model
SeqAfford combines a 3D multimodal large language model with special segmentation tokens to decompose complex instructions into ordered affordance masks, and the authors present a 180K-pair benchmark for this task.