We provide our implementation of Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment here at BMVC or link at Arxiv.
We also provide some popular heatmap based approaches like stacked hourglass, etc.. You can define different loss-type/network structure/dataset in config.py(from sample_config.py).
For example, by default, you can train our approach by train.py --network sdu or train hourglass network by train.py --network hourglass.
2D training/validation dataset is now available at baiducloud or dropbox
3D training/validation dataset is now available at baiducloud or dropbox