Non-Adversarial Video Synthesis with Learned Priors

Overview

This package is a PyTorch implementation of the paper "Non-Adversarial Video Synthesis with Learned Priors" accepted at IEEE CVPR 2020.
[Project page] [Paper]

Dependencies

Create a conda environment with the 'environment.yml'

Data

Please download the Chair-CAD dataset.

Running

1. Create folders with names "fc_dir", "videos" and "mp4_files".
2. Set the dataset path in the "class_gen.py" file.
3. Run the following:

python class_gen.py

Citation

Please cite the following work if you use this package.

@InProceedings{Aich_2020_CVPR,
author = {Aich, Abhishek and Gupta, Akash and Panda, Rameswar and Hyder, Rakib and Asif, M. Salman and Roy-Chowdhury, Amit K.},
title = {Non-Adversarial Video Synthesis With Learned Priors},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {6090--6099},
month = {June},
year = {2020}
}

Contact

Please contact the first author of the associated paper - Abhishek Aich (aaich001@ucr.edu) for any further queries.