Sparse Global Matching for Video Frame Interpolation with Large Motion

arXiv:2404.06913v1 Announce Type: new
Abstract: Large motion poses a critical challenge in Video Frame Interpolation (VFI) task. Existing methods are often constrained by limited receptive fields, resulting in sub-optimal performance when handling scenarios with large motion. In this paper, we introduce a new pipeline for VFI, which can effectively integrate global-level information to alleviate issues associated with large motion. Specifically, we first estimate a pair of initial intermediate flows using a high-resolution feature map for extracting local details. Then, we …

abstract arxiv challenge cs.cv fields global interpolation paper performance pipeline type video