Recently, generative adversarial networks (GANs) have progressed enormously, which
makes them able to learn complex data distributions in particular faces. More and more …

Recent advances in generative adversarial networks (GANs) have provided potential
solutions for photorealistic human image synthesis. However, the explicit and individual …

Generative Adversarial Networks (GANs) have emerged as a significant player in generative
modeling by mapping lower-dimensional random noise to higher-dimensional spaces …

In recent years, the problem of image complementation has achieved better
complementation effect under the condition of applying deep learning technology, and even …

Front camera data from tablets used in educational settings offer valuable clues to student
behavior, attention, and affective state. Due to the camera's angle of view, the face of the …

Gaining awareness of affective states enables leveraging emotional information as
additional context in order to design emotionally sentient systems. Applications of such …