Learning Large Motion Estimation from Intermediate Representations with a High-Resolution Optical Flow Dataset Featuring Long-Range Dynamic Motion

We introduce a high-resolution optical flow dataset containing long-range dynamic motion and propose a framework that learns large motion estimation from intermediate representations, enabling more robust and accurate flow prediction in challenging scenarios.