APPT adapts frozen foundation models of any modality to 3D point clouds using a shared point-prompt generator and permutation-invariant position signals, improving 3D classification and segmentation with minimal training.
Adapt point- former: 3d point cloud analysis via adapting 2d visual transform- ers,
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Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis
APPT adapts frozen foundation models of any modality to 3D point clouds using a shared point-prompt generator and permutation-invariant position signals, improving 3D classification and segmentation with minimal training.