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Optical Flow Estimation

102 papers with code · Computer Vision

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FlowNet: Learning Optical Flow with Convolutional Networks

ICCV 2015 msracver/Deep-Feature-Flow

Optical flow estimation has not been among the tasks where CNNs were successful.

OPTICAL FLOW ESTIMATION

A Fusion Approach for Multi-Frame Optical Flow Estimation

23 Oct 2018NVlabs/PWC-Net

To date, top-performing optical flow estimation methods only take pairs of consecutive frames into account.

OPTICAL FLOW ESTIMATION

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

14 Sep 2018NVlabs/PWC-Net

We investigate two crucial and closely related aspects of CNNs for optical flow estimation: models and training.

OPTICAL FLOW ESTIMATION

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

CVPR 2018 NVlabs/PWC-Net

It then uses the warped features and features of the first image to construct a cost volume, which is processed by a CNN to estimate the optical flow.

DENSE PIXEL CORRESPONDENCE ESTIMATION OPTICAL FLOW ESTIMATION

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 multi-scale video prediction beyond mean square error

17 Nov 2015dyelax/Adversarial_Video_Generation

Learning to predict future images from a video sequence involves the construction of an internal representation that models the image evolution accurately, and therefore, to some degree, its content and dynamics.

OPTICAL FLOW ESTIMATION VIDEO PREDICTION