Synthetic Image Generation Using Conditional GAN-Provided Single-Sample Face Image
Muhammad Ali Iqbal,
Waqas Jadoon,
Soo Kyun Kim
Abstract:The performance of facial recognition systems significantly decreases when faced with a lack of training images. This issue is exacerbated when there is only one image per subject available. Probe images may contain variations such as illumination, expression, and disguise, which are difficult to recognize accurately. In this work, we present a model that generates six facial variations from a single neutral face image. Our model is based on a CGAN, designed to produce six highly realistic facial expressions f… Show more
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