Partition-Invariant Tuning for 3D Scene Understanding
PointPiT is proposed, a partition-invariant tuning framework for scene-level point clouds that integrates local geometric patterns with global scene context to mitigate partition-induced representation shifts, and achieves consistent state-of-the-art performance among representative PEFT methods.