Generating random photo-realistic images has experienced tremendous growth during the
past few years due to the advances of the deep convolutional neural networks and …

Although significant progress has been made in synthesizing high-quality and visually
realistic face images by unconditional Generative Adversarial Networks (GANs), there is still …

With the development of Generative deep learning algorithms in the last decade, it has
become increasingly difficult to differentiate between what is real and what is fake. With the …

Voice conversion (VC) consists of digitally altering the voice of an individual to manipulate
part of its content, primarily its identity, while maintaining the rest unchanged. Research in …

人脸合成由于其应用与技术价值, 是机器视觉领域的热点之一, 而近年来深度学习的突破性进展
使该领域吸引了更多关注. 将该领域的研究分为四个子类: 人脸身份合成, 人脸动作合成 …

The generative adversarial network (GAN) exhibits great superiority in the face attribute
synthesis task. However, existing methods have very limited effects on the expansion of new …

Facial attribute manipulation gained a lot of attention when deep learning algorithms made
amazing achievements during the last few years. Facial attribute manipulation is the process …

Text-to-image synthesis is one of the key tasks in the cross-modal generation, which aims to
generate natural and realistic images under the condition of text description. The main …

Deep learning-based image generation methods can alleviate the class imbalance in
training ultrasound image classification models. However, one of the problems faced by the …

In order to overcome the low classification accuracy of traditional methods, this paper
proposes a new classification method of complex attribute big data based on iterative fuzzy …