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Video Frame Interpolation

17 papers with code · Computer Vision
Subtask of Video

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Depth-Aware Video Frame Interpolation

CVPR 2019 baowenbo/DAIN

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

Video Frame Interpolation via Adaptive Separable Convolution

ICCV 2017 sniklaus/pytorch-sepconv

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

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

26 Feb 2020Mukosame/Zooming-Slow-Mo-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.

VIDEO FRAME INTERPOLATION VIDEO SUPER-RESOLUTION

Deep Video Frame Interpolation using Cyclic Frame Generation

AAAI 2019 alex04072000/CyclicGen

In addition to the cycle consistency loss, we propose two extensions: motion linearity loss and edge-guided training.

VIDEO FRAME INTERPOLATION

Implementing Adaptive Separable Convolution for Video Frame Interpolation

20 Sep 2018martkartasev/sepconv

As Deep Neural Networks are becoming more popular, much of the attention is being devoted to Computer Vision problems that used to be solved with more traditional approaches.

VIDEO FRAME INTERPOLATION

AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation

24 Jul 2019HyeongminLEE/AdaCoF-pytorch

Video frame interpolation is one of the most challenging tasks in video processing research.

VIDEO FRAME INTERPOLATION