Video frame interpolation: A comprehensive survey
Video Frame Interpolation (VFI) is a fascinating and challenging problem in the computer
vision (CV) field, aiming to generate non-existing frames between two consecutive video …
vision (CV) field, aiming to generate non-existing frames between two consecutive video …
Extracting motion and appearance via inter-frame attention for efficient video frame interpolation
Effectively extracting inter-frame motion and appearance information is important for video
frame interpolation (VFI). Previous works either extract both types of information in a mixed …
frame interpolation (VFI). Previous works either extract both types of information in a mixed …
Ifrnet: Intermediate feature refine network for efficient frame interpolation
Prevailing video frame interpolation algorithms, that generate the intermediate frames from
consecutive inputs, typically rely on complex model architectures with heavy parameters or …
consecutive inputs, typically rely on complex model architectures with heavy parameters or …
Real-time intermediate flow estimation for video frame interpolation
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 …
and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm …
Video frame interpolation with transformer
Video frame interpolation (VFI), which aims to synthesize intermediate frames of a video, has
made remarkable progress with development of deep convolutional networks over past …
made remarkable progress with development of deep convolutional networks over past …
Film: Frame interpolation for large motion
We present a frame interpolation algorithm that synthesizes an engaging slow-motion video
from near-duplicate photos which often exhibit large scene motion. Near-duplicates …
from near-duplicate photos which often exhibit large scene motion. Near-duplicates …
Asymmetric bilateral motion estimation for video frame interpolation
We propose a novel video frame interpolation algorithm based on asymmetric bilateral
motion estimation (ABME), which synthesizes an intermediate frame between two input …
motion estimation (ABME), which synthesizes an intermediate frame between two input …
Softmax splatting for video frame interpolation
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 …
tasks like depth estimation and optical flow prediction. In contrast, how to perform forward …
Bmbc: Bilateral motion estimation with bilateral cost volume for video interpolation
Video interpolation increases the temporal resolution of a video sequence by synthesizing
intermediate frames between two consecutive frames. We propose a novel deep-learning …
intermediate frames between two consecutive frames. We propose a novel deep-learning …
Channel attention is all you need for video frame interpolation
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 …
require additional model complexity and computational cost; it is also susceptible to error …