2009
DOI: 10.1007/978-3-642-10331-5_81
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Weight, Sex, and Facial Expressions: On the Manipulation of Attributes in Generative 3D Face Models

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Cited by 9 publications
(6 citation statements)
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“…There has been significant work in modifying faces along other axes or attributes, such as gender [15], age [17,23], facial expressions [1] and attractiveness [18]. However, while these works focus on intuitive and describable attributes, our work focuses on a property that is yet not well understood.…”
Section: Related Worksupporting
confidence: 44%
“…There has been significant work in modifying faces along other axes or attributes, such as gender [15], age [17,23], facial expressions [1] and attractiveness [18]. However, while these works focus on intuitive and describable attributes, our work focuses on a property that is yet not well understood.…”
Section: Related Worksupporting
confidence: 44%
“…Even though some facial attributes are encoded in the model parameters [1], the analysis of them has have not yet been explored. We show the limitations using the model parameters for attribute classification.…”
Section: Prior Workmentioning
confidence: 47%
“…1) Static Face Generation: This task is typically tackled based on face morphable models [27], [28], [29] by editing the geometry of a reconstructed face shape. With the rise of generative modeling, a number of methods apply Variational Auto-Encoder (VAE) [30], [31], [37] and Generative Adversarial Network (GAN) [38], [40], [41], [42] to generate face images towards specific attributes.…”
Section: A Related Workmentioning
confidence: 99%