Dimensions overall score 7.0

• EventHub enables training of deep-event stereo networks without ground truth annotations from active sensors.method 95%
• EventHub derives proxy annotations and proxy events from standard color images using novel view synthesis techniques.method 90%
• EventHub can repurpose existing RGB stereo models to process event data, creating new event stereo models.technical 90%
• EventHub-trained models demonstrate unprecedented generalization capabilities on event stereo datasets.result 85%
• Experiments on widely used event stereo datasets support the effectiveness of EventHub.result 90%
• EventHub's data distillation mechanism can improve RGB stereo foundation model accuracy in challenging conditions like nighttime scenes.result 85%
• EventHub can work with existing paired image-event data by deriving only proxy annotations.method 80%

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