Exploring Semantic Variations in GAN Latent Spaces via Matrix Factorization

Andrey Palaev, Rustam A. Lukmanov, Adil Khan

Controlled data generation with GANs is desirable but challenging due to the nonlinearity and high dimensionality of their latent spaces. In this work, we explore image manipulatio…