AI RESEARCH
Generative Event Pretraining with Foundation Model Alignment
arXiv CS.CV
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ArXi:2603.23032v1 Announce Type: new Event cameras provide robust visual signals under fast motion and challenging illumination conditions thanks to their microsecond latency and high dynamic range. However, their unique sensing characteristics and limited labeled data make it challenging to train event-based visual foundation models (VFMs), which are crucial for learning visual features transferable across tasks. To tackle this problem, we propose GEP (Generative Event Pre