MAU: A Motion-Aware Unit for Video Prediction and Beyond, NeurIPS2021

Related tags

Deep LearningMAU
Overview

MAU (NeurIPS2021)

Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Yan Ye, Xinguang Xiang, Wen GAo.

Official PyTorch Code for "MAU: A Motion-Aware Unit for Video Prediction and Beyond" [paper]

Requirements

  • PyTorch 1.7
  • CUDA 11.0
  • CuDNN 8.0.5
  • python 3.6.7

Installation

Create conda environment:

    $ conda create -n MAU python=3.6.7
    $ conda activate MAU
    $ pip install -r requirements.txt
    $ conda install pytorch==1.7 torchvision cudatoolkit=11.0 -c pytorch

Download repository:

    $ git clone [email protected]:ZhengChang467/MAU.git

Unzip MovingMNIST Dataset:

    $ cd data
    $ unzip mnist_dataset.zip

Test

    $ python MAU_run.py --is_train False

Train

    $ python MAU_run.py --is_train True

We plan to share the train codes for other datasets soon!

Citation

Please cite the following paper if you feel this repository useful.

@article{chang2021mau,
title={MAU: A Motion-Aware Unit for Video Prediction and Beyond},
author={Chang, Zheng and Zhang, Xinfeng and Wang, Shanshe and Ma, Siwei and Ye, Yan and Xinguang, Xiang and Gao, Wen},
journal={Advances in Neural Information Processing Systems},
volume={34},
year={2021}}

License

See MIT License

Owner
ZhengChang
ZhengChang
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