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GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Model

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.19716v1 Announce Type: new Abstract: Pre-trained 3D vision models have substantially advanced point cloud analysis, yet adapting them to downstream tasks via full fine-tuning is computationally expensive and storage-intensive. Parameter-Efficient Fine-Tuning (PEFT) offers a promising alt…

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  1. 2026-09-18 04:00 · arXiv cs.CV
    GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Model

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