AI RESEARCH
Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models
arXiv CS.CV
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ArXi:2605.06010v1 Announce Type: new Purely RGB-based vision models often fail to provide reliable cues in challenging scenarios such as nighttime and fog, leading to degraded performance and safety risks. Infrared imaging captures heat-emitting sources and provides critical complementary information, but existing high-fidelity fusion methods suffer from prohibitive latency, rendering them impractical for real-time edge deployment. To address this, we propose FusionProxy, a real-time image fusion module designed as a fully independent, plug-and-play component with diffusion level quality.