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B. Căpriță

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Open access Jun 2026

Realistic Facial Attribute Control via Variational Autoencoding

The design and implementation of a generative system based on a variational autoencoder (VAE) for reconstructing and manipulating facial features in images and introduces a selective orthogonalization of latent vectors using the Gram-Schmidt process, informed by correlation matrix analysis.

B. Căpriță, Stelian Spinu · 0 citations

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