Changxing Deng

Explicit Motion Disentangling for Efficient Optical Flow Estimation

In this paper, we propose a novel framework for optical flow estimation that achieves a good balance between performance and efficiency. Our approach involves disentangling global motion learning from local flow estimation, treating global matching and local refinement as separate stages. We offer t…