Fig. 2From: Facial attribute-controlled sketch-to-image translation with generative adversarial networksOverview of our proposed method, which consists of three main models at training: the generator, the generator consists of an encoder and a decoder, the discriminator, and the attribute classifier. The facial attribute classifier ensures the desired facial attribute manipulation on the input image. The generator is used to preserve the input image detail features. The discriminator is employed for a visually realistic generationBack to article page