AI RESEARCH
Learning to See through Illumination Extremes with Event Streaming in Multimodal Large Language Models
arXiv CS.CV
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ArXi:2603.27558v1 Announce Type: new Multimodal Large Language Models (MLLMs) perform strong vision-language reasoning under standard conditions but fail in extreme illumination, where RGB inputs lose irrevocable structure and semantics. We propose Event-MLLM, an event-enhanced model that performs all-light visual reasoning by dynamically fusing event streams with RGB frames.