2023
Explicit Motion Disentangling for Efficient Optical Flow Estimation
ICCV 2023poster
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…