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Continuous Face Aging via Self-estimated Residual Age Embedding
In this work, we propose a unified network structure that embeds a linear age estimator into a GAN-based model, where the embedded age estimator is trained jointly with the encoder and decoder to estimate the age of a face image and provide a personalized target age embedding for age progression/regression.
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation
Generative adversarial networks (GANs) have shown significant potential in modeling high dimensional distributions of image data, especially on image-to-image translation tasks.
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