AI RESEARCH
PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Few-shot Learning
arXiv CS.CV
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ArXi:2603.23957v1 Announce Type: new Understanding spatial dynamics and semantics in point cloud is fundamental for comprehensive 3D comprehension. While reinforcement learning algorithms such as Group Relative Policy Optimization (GRPO) have recently achieved remarkable breakthroughs in large language models by incentivizing reasoning capabilities through strategic reward design, their potential remains largely unexplored in the 3D perception domain.