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Optical Flow Estimation

95 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

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

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

Real-time Action Recognition with Enhanced Motion Vector CNNs

CVPR 2016 yjxiong/caffe

The deep two-stream architecture exhibited excellent performance on video based action recognition.

OPTICAL FLOW ESTIMATION ZERO-SHOT ACTION RECOGNITION

GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

CVPR 2018 yzcjtr/GeoNet

We propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and ego-motion estimation from videos.

IMAGE RECONSTRUCTION MOTION ESTIMATION OPTICAL FLOW ESTIMATION