As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

Lung cancer has one of the highest mortalities of all cancers. According to the National Lung
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Facial image manipulation has achieved great progress in recent years. However, previous
methods either operate on a predefined set of face attributes or leave users little freedom to …

The Deepfake phenomenon has become very popular nowadays thanks to the possibility to
create incredibly realistic images using deep learning tools, based mainly on ad-hoc …

Recent studies have shown remarkable success in image-to-image translation for two
domains. However, existing approaches have limited scalability and robustness in handling …

Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
impressive results for task of facial expression synthesis. The most successful architecture is …

Facial attribute editing aims to manipulate single or multiple attributes on a given face
image, ie, to generate a new face image with desired attributes while preserving other …

Talking face generation, also known as speech-to-lip generation, reconstructs facial motions
concerning lips given coherent speech input. The previous studies revealed the importance …

Arbitrary attribute editing generally can be tackled by incorporating encoder-decoder and
generative adversarial networks. However, the bottleneck layer in encoder-decoder usually …