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Cheng-Fu Zou

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Conference Open access Sep 2026

EKFEdit: Extended Kalman Filter for Training-Free Flow-Based Image Editing

EKFEdit is a novel framework that formulates image editing as a sequential state estimation problem in a nonlinear dynamic system, which models inversion-free editing trajectories as the system’s prior dynamics and leverages an Extended Kalman Filter to adaptively fuse observations from external editing algorithms.

Cheng-Fu Zou, Yao-Chen Li, Yi Han et al. · 0 citations

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