With the prosperity of digital video industry, video frame interpolation has arisen continuous
attention in computer vision community and become a new upsurge in industry. Many …

Prevailing video frame interpolation techniques rely heavily on optical flow estimation and
require additional model complexity and computational cost; it is also susceptible to error …

Differentiable image sampling in the form of backward warping has seen broad adoption in
tasks like depth estimation and optical flow prediction. In contrast, how to perform forward …

Learning to synthesize high frame rate videos via interpolation requires large quantities of
high frame rate training videos, which, however, are scarce, especially at high resolutions …

Prevailing video frame interpolation algorithms, that generate the intermediate frames from
consecutive inputs, typically rely on complex model architectures with heavy parameters or …

A novel 4K video frame interpolator based on bilateral transformer (BiFormer) is proposed in
this paper, which performs three steps: global motion estimation, local motion refinement …

Motion estimation (ME) and motion compensation (MC) have been widely used for classical
video frame interpolation systems over the past decades. Recently, a number of data-driven …

In this paper, we firstly present a dataset (X4K1000FPS) of 4K videos of 1000 fps with the
extreme motion to the research community for video frame interpolation (VFI), and propose …

Real-time video frame interpolation (VFI) is very useful in video processing, media players,
and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm …

Learning to synthesize non-existing frames from the original consecutive video frames is a
challenging task. Recent kernel-based interpolation methods predict pixels with a single …