DCVNet: Dilated Cost Volume Networks for Fast Optical Flow

arXiv:2103.17271v2 Announce Type: replace
Abstract: The cost volume, capturing the similarity of possible correspondences across two input images, is a key ingredient in state-of-the-art optical flow approaches. When sampling correspondences to build the cost volume, a large neighborhood radius is required to deal with large displacements, introducing a significant computational burden. To address this, coarse-to-fine or recurrent processing of the cost volume is usually adopted, where correspondence sampling in a local neighborhood with a small radius suffices. In this paper, …

arxiv cost cs.cv flow networks optical optical flow type