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Video Frame Interpolation

10 papers with code · Computer Vision
Subtask of Video

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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

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

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

Using phase instead of optical flow for action recognition

10 Sep 201811maxed11/phase-based-action-recognition

We design these complex filters to resemble complex Gabor filters, typically employed for phase-information extraction.

OPTICAL FLOW ESTIMATION VIDEO FRAME INTERPOLATION ZERO-SHOT ACTION RECOGNITION

Event-driven Video Frame Synthesis

26 Feb 2019winswang/int-event-fusion

Temporal Video Frame Synthesis (TVFS) aims at synthesizing novel frames at timestamps different from existing frames, which has wide applications in video codec, editing and analysis.

DEBLURRING DENOISING SENSOR FUSION VIDEO FRAME INTERPOLATION VIDEO PREDICTION