AI RESEARCH

RED: Robust Event-Guided Motion Deblurring with Modality-Specific Disentanglement

arXiv CS.CV

ArXi:2509.05554v3 Announce Type: replace Event-guided motion deblurring reconstructs sharp images using the high-temporal-resolution motion cues from event cameras. However, in real capture, thresholding-induced event under-reporting causes missing and fragmented motion cues, under which existing methods often degrade in performance due to two limitations: i) assumptions of dense and stable events, and ii) modality-indiscriminate extraction and fusion that fail to separate useful motion cues from disrupted events, allowing them to contaminate cross-modal representations.