FAS-UCM generates user-specific spoof images via style transfer to train a CNN that distinguishes live and spoof faces with 0.22 average error rate on the SiW database.
Perceptual losses for real-time style transfer and super-resolution
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it