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Found 5 papers, 1 papers with code
An Assessment of GANs for Identity-related Applications
Generative Adversarial Networks (GANs) are now capable of producing synthetic face images of exceptionally high visual quality.
Robustness of Facial Recognition to GAN-based Face-morphing Attacks
Face-morphing attacks have been a cause for concern for a number of years.
A 3D GAN for Improved Large-pose Facial Recognition
Facial recognition using deep convolutional neural networks relies on the availability of large datasets of face images.
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
For example, given only labels of ambient / non-ambient lighting, our method is able to learn multivariate lighting models disentangled from other factors such as the identity and pose.
Plane-extraction from depth-data using a Gaussian mixture regression model
We propose a novel algorithm for unsupervised extraction of piecewise planar models from depth-data.
