FrseGAN: Free‐style editable facial makeup transfer based on GAN combined with transformer
Weifeng Xu,
Pengjie Wang,
Xiaosong Yang
Abstract:Makeup in real life varies widely and is personalized, presenting a key challenge in makeup transfer. Most previous makeup transfer techniques divide the face into distinct regions for color transfer, frequently neglecting details like eyeshadow and facial contours. Given the successful advancements of Transformers in various visual tasks, we believe that this technology holds large potential in addressing pose, expression, and occlusion differences. To explore this, we propose novel pipeline which combines we… Show more
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