Toward Unbiased High-Quality Portraits through Latent-Space Evaluation
Doaa Almhaithawi,
Alessandro Bellini,
Tania Cerquitelli
Abstract:Images, texts, voices, and signals can be synthesized by latent spaces in a multidimensional vector, which can be explored without the hurdles of noise or other interfering factors. In this paper, we present a practical use case that demonstrates the power of latent space in exploring complex realities such as image space. We focus on DaVinciFace, an AI-based system that explores the StyleGAN2 space to create a high-quality portrait for anyone in the style of the Renaissance genius Leonardo da Vinci. The user … Show more
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