Pytorch implementation of FlowNet by Dosovitskiy et al.

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

Caffe implementation for "Guided Optical Flow Learning"

Optical Flow and Deep Learning Use Cases

Torch implementation of Fischer et al. FlowNet training code

TensorFlow implementation for "Guided Optical Flow Learning"

Flow-Guided-Feature-Aggregation研究基于视频的目标检测FGFA框架

This is an implementation of FlowNet with tensorflow

In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use pre-trained FlowNet2 deep learning model and experiment by fine-tuning it. We explore the interpolation performance on Spheres dataset and Corridor dataset.

FlowNetS model implemented

A collection of ROS packages for LMB software; DispNet(1 3), FlowNet2, etc.

Data and code for Kang et al., EMNLP 2019's paper titled "Linguistic Versus Latent Relations for Modeling a Flow in Paragraphs"

A repository for the project of object tracking (object mask propagation) by estimating the optical flow between frames

A simple flow network solver

A super caffe for mobilenet, deep-feature flow, single shot Multi-box detection, flownet, PSPnet

Simple Cross Correlation Op in Tensorflow, CPU & GPU

liruoteng/FlowNet for windows

Flownet generation with Fortran