Recently, video frame interpolation using a combination of frame-and event-based cameras
has surpassed traditional image-based methods both in terms of performance and memory …

State-of-the-art frame interpolation methods generate intermediate frames by inferring object
motions in the image from consecutive key-frames. In the absence of additional information …

Event-based video frame interpolation is promising as event cameras capture dense motion
signals that can greatly facilitate motion-aware synthesis. However, training existing …

Abstract Video Frame Interpolation (VFI) aims to generate intermediate video frames
between consecutive input frames. Since the event cameras are bio-inspired sensors that …

Given two consecutive frames, video interpolation aims at generating intermediate frame (s)
to form both spatially and temporally coherent video sequences. While most existing …

Video frame interpolation aims to synthesize accurate intermediate frames given a low-
frame-rate video. While the quality of the generated frames is increasingly getting better …

We propose a simple yet effective algorithm for motion-based video frame interpolation.
Existing motion-based interpolation methods typically rely on an off-the-shelf optical flow …

Video frame interpolation is one of the most challenging tasks in video processing research.
Recently, many studies based on deep learning have been suggested. Most of these …

Most modern frame interpolation approaches rely on explicit bidirectional optical flows
between adjacent frames, thus are sensitive to the accuracy of underlying flow estimation in …

Video frame interpolation aims at synthesizing intermediate frames from nearby source
frames while maintaining spatial and temporal consistencies. The existing deep-learning …