P3T introduces point-level and text prompters plus a prototypical loss to enable efficient, generalizable adaptation of 3D VLMs without full fine-tuning.
Point-m2AE: Multi-scale masked autoencoders for hier- archical point cloud pre-training,
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P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models
P3T introduces point-level and text prompters plus a prototypical loss to enable efficient, generalizable adaptation of 3D VLMs without full fine-tuning.