insightface/alignment

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.

For example, by default, you can train our approach by train.py --network sdu or train hourglass network by train.py --network hourglass.

More information and binary training dataset coming soon.