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Face morph age progression applications skin#
M., and Thalmann D., “ A plastic-visco-elastic model for wrinkles in facial animation and skin aging,” in Proc. B., “ The perception of human growth,” Sci. Psychology: Human Perception Perform., vol. E., “ Aging faces as viscal-elastic events: Implications for a theory of nonrigid shape perception,” J.
Face morph age progression applications generator#
Further, an adversarial learning scheme is introduced to simultaneously train a single generator and multiple parallel discriminators, resulting in smooth continuous face aging sequences. To render photo-realistic facial details, high-level age-specific features conveyed by the synthesized face are estimated by a pyramidal adversarial discriminator at multiple scales, which simulates the aging effects in a finer way. It separately models the constraints for the intrinsic subject-specific characteristics and the age-specific facial changes with respect to the elapsed time, ensuring that the generated faces present desired aging effects while keeping personalized properties stable. This paper presents a novel generative adversarial network based approach to address the issues in a coupled manner.
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The two underlying requirements of face age progression, i.e., aging accuracy and identity permanence, are not well studied in the literature.