Abstract We present Face Swapping GAN (FSGAN) for face swapping and reenactment.
Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces …

Recent advances in ray tracing hardware bring real-time path tracing into reach, and ray
traced soft shadows, glossy reflections, and diffuse global illumination are now common …

The choice of a loss function is an important factor when training neural networks for image
restoration problems, such as single image super resolution. The loss function should …

Scene text image super-resolution (STISR) is regarded as the process of improving the
image quality of low-resolution scene text images to improve text recognition accuracy …

Low-quality (LQ) images often lead to difficulties in the screening and diagnosis of medical
diseases. Unsupervised generative adversarial networks (GAN)-based image enhancement …

A noise-enhanced super-resolution generative adversarial network plus (nESRGAN+) was
proposed to improve the enhanced super-resolution GAN (ESRGAN). The contributions of …

The correlation between music and human motion has attracted widespread research
attention. Although recent studies have successfully generated motion for singers, dancers …

The last decade witnessed a renaissance of machine learning for image processing. Super-
resolution (SR) is one of the areas where deep learning techniques have achieved …

This paper presents a demo of our novel approach to improve single-image super-resolution
methods by integrating trainable regularization techniques. Recent advancements, such as …

The CNN-based image inpainting methods have achieved promising performance because
of its outstanding semantic understanding and reasoning potentialities. However, previous …