PCLNet
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Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.
PCLNet
This repo contains source code for the paper:
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM. In Proceedings of IEEE International Conference on Multimedia and Expo(ICME). 2019.
Framework

Acknowledgement
The implementation for Mean Structural Similarity (MSSIM) metric (models/ssim_module.py) is derived from: https://github.com/Po-Hsun-Su/pytorch-ssim.git
Citations
If you use PCLNet, please cite the following paper:
@InProceedings{PCLNet-icme2019,
author = {Shuosen Guan, Haoxin Li, Wei-Shi Zheng},
title = {Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM},
booktitle = {Proceedings of IEEE International Conference on Multimedia and Expo(ICME)},
year = {2019},
}