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.