DRFusion: Drift-Resilient Temporally Consistent Infrared-Visible Video Fusion 事件

DRFusion: Drift-Resilient Temporally Consistent Infrared-Visible Video Fusion arXiv:2605.25775v1 Announce Type: new Abstract: Infrared and visible video fusion is essential for achieving comprehensive perception in dynamic scenes. However, maintaining temporal consistency remains a formidable challenge. Conventional methods relying on optical flow often suffer from geometric rigidity and ghosting artifacts. Moreover, standard diffusion-based fusion models typically operate in a frame-by-frame m