Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation. (arXiv:2206.10886v1 [cs.CV])

Recent works have shown the ability of Implicit Neural Representations (INR)
to carry meaningful representations of signal derivatives. In this work, we
leverage this property to perform Video Frame Interpolation (VFI) by explicitly
constraining the derivatives of the INR to satisfy the optical flow constraint
equation. We achieve state of the art VFI on limited motion ranges using only a
target video and its optical flow, without learning the interpolation operator
from additional training data. We further show that constraining …

arxiv cv flow regularization video