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Adversarial Latent Autoencoders
Introducing the Adversarial Latent Autoencoder (ALAE), a general architecture that can leverage recent improvements on GAN training procedures.
autoencoders generative-adversarial-networks latent-space disentanglement
GANSpace: Discovering Interpretable GAN Controls
This paper describes a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis.
generative-adversarial-networks image-generation interpretability interpretable-gans
Differential Subspace Search in High-Dimensional Latent Space
Differential subspace search to allow efficient iterative user exploration in such a space, without relying on domain- or data-specific assumptions.
generative-models dimensionality-reduction singular-value-decompoition latent-space
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