Video Frame Interpolation

37 papers with code • 5 benchmarks • 5 datasets

The goal of Video Frame Interpolation is to synthesize several frames in the middle of two adjacent frames of the original video. Video Frame Interpolation can be applied to generate slow motion video, increase video frame rate, and frame recovery in video streaming.

Source: Reducing the X-ray radiation exposure frequency in cardio-angiography via deep-learning based video interpolation

Greatest papers with code

Depth-Aware Video Frame Interpolation

baowenbo/DAIN CVPR 2019

The proposed model then warps the input frames, depth maps, and contextual features based on the optical flow and local interpolation kernels for synthesizing the output frame.

Optical Flow Estimation Video Frame Interpolation

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

hzwer/Arxiv2020-RIFE 12 Nov 2020

We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for Video Frame Interpolation (VFI).

Video Frame Interpolation

Video Frame Interpolation via Adaptive Separable Convolution

sniklaus/sepconv-slomo ICCV 2017

Our method develops a deep fully convolutional neural network that takes two input frames and estimates pairs of 1D kernels for all pixels simultaneously.

Optical Flow Estimation Video Frame Interpolation

GIMP-ML: Python Plugins for using Computer Vision Models in GIMP

kritiksoman/GIMP-ML 27 Apr 2020

Apart from these, several image manipulation techniques using these plugins have been compiled and demonstrated in the YouTube channel (https://youtube. com/user/kritiksoman) with the objective of demonstrating the use-cases for machine learning based image modification.

Colorization Deblurring +8

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Mukosame/Zooming-Slow-Mo-CVPR-2020 15 Apr 2021

A na\"ive method is to decompose it into two sub-tasks: video frame interpolation (VFI) and video super-resolution (VSR).

Space-time Video Super-resolution Video Frame Interpolation +1

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

Mukosame/Zooming-Slow-Mo-CVPR-2020 CVPR 2020

Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network.

Space-time Video Super-resolution Video Frame Interpolation +1

Video Enhancement with Task-Oriented Flow

anchen1011/toflow 24 Nov 2017

Many video enhancement algorithms rely on optical flow to register frames in a video sequence.

Denoising Motion Estimation +5

Softmax Splatting for Video Frame Interpolation

sniklaus/softmax-splatting CVPR 2020

In contrast, how to perform forward warping has seen less attention, partly due to additional challenges such as resolving the conflict of mapping multiple pixels to the same target location in a differentiable way.

Depth Estimation Optical Flow Estimation +1

Enhanced Quadratic Video Interpolation

zhaohengyuan1/PAN 10 Sep 2020

In this work, we further improve the performance of QVI from three facets and propose an enhanced quadratic video interpolation (EQVI) model.

Super-Resolution Video Frame Interpolation