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Video Frame Interpolation

22 papers with code · Computer Vision
Subtask of Video

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

Benchmarks

Greatest papers with code

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/sepconv-slomo

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

CVPR 2020 Mukosame/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

Softmax Splatting for Video Frame Interpolation

CVPR 2020 sniklaus/softmax-splatting

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 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

Blurry Video Frame Interpolation

CVPR 2020 laomao0/BIN

Existing works reduce motion blur and up-convert frame rate through two separate ways, including frame deblurring and frame interpolation.

DEBLURRING VIDEO FRAME INTERPOLATION

AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation

CVPR 2020 HyeongminLEE/AdaCoF-pytorch

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

VIDEO FRAME INTERPOLATION