CycleGAN Face-off

Understand

Face-off is an interesting case of style transfer where the facial expressions and attributes of one person could be fully transformed to another face.

• We are interested in the unsupervised training process which only requires two sequences of unaligned video frames from each person and learns what shared attributes to extract automatically.
• In this project, we explored various improvements for adversarial training (i.e.
• CycleGAN[Zhu et al., 2017]) to capture details in facial expressions and head poses and thus generate transformation videos of higher consistency and stability.