With the massive proliferation of data-driven algorithms, such as deep learning-based
approaches, the availability of high-quality data is of great interest. Volumetric data is very …

While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …

Blind face restoration (BFR) from severely degraded face images in the wild is a very
challenging problem. Due to the high illness of the problem and the complex unknown …

We propose semantic region-adaptive normalization (SEAN), a simple but effective building
block for Generative Adversarial Networks conditioned on segmentation masks that describe …

Abstract We propose Image2StyleGAN++, a flexible image editing framework with many
applications. Our framework extends the recent Image2StyleGAN in three ways. First, we …

We propose an efficient algorithm to embed a given image into the latent space of StyleGAN.
This embedding enables semantic image editing operations that can be applied to existing …

In the past few years, a lot of work has been done towards reconstructing the 3D facial
structure from single images by capitalizing on the power of Deep Convolutional Neural …

Data has become the most valuable resource in today's world. With the massive proliferation
of data-driven algorithms, such as deep learning-based approaches, the availability of data …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

Telecommunication with photorealistic avatars in virtual or augmented reality is a promising
path for achieving authentic face-to-face communication in 3D over remote physical …