Author

Yao Zheng

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Jul 2026

On the Efficacy of Self-Supervised Point Cloud Encoders for Efficient 3D Large Language Models

This work systematically investigates whether low-cost self-supervised point cloud encoders, specifically PCP-MAE and Point-MAE, can serve as effective alternatives for cost-effective 3D-LLM design and reveals interaction patterns between self-supervised objectives and encoder architectures.

Yao Zheng, Tian Zhang · arXiv.org · 0 citations