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Video Frame Interpolation

12 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

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

FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss

16 Dec 2019JihyongOh/FISR

In this paper, we first propose a joint VFI-SR framework for up-scaling the spatio-temporal resolution of videos from 2K 30 fps to 4K 60 fps.

SUPER-RESOLUTION VIDEO FRAME INTERPOLATION

Unsupervised Video Interpolation Using Cycle Consistency

ICCV 2019 2019 NVIDIA/unsupervised-video-interpolation

We further introduce a pseudo supervised loss term that enforces the interpolated frames to be consistent with predictions of a pre-trained interpolation model.

OPTICAL FLOW ESTIMATION VIDEO FRAME INTERPOLATION