Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

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

Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

We address the problem of learning person-specific facial priors from a small number (eg,
20) of portrait photos of the same person. This enables us to edit this specific person's facial …

Recently, deep learning based 3D face reconstruction methods have shown promising
results in both quality and efficiency. However, training deep neural networks typically …

We propose an approach for face image generation of virtual people with disentangled,
precisely-controllable latent representations for identity of non-existing people, expression …

In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …

Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
increasing success in generating photorealistic images. But they also raise challenges to …

We present a simple yet effective method to infer detailed full human body shape from only a
single photograph. Our model can infer full-body shape including face, hair, and clothing …

The estimation of 3D face shape from a single image must be robust to variations in lighting,
head pose, expression, facial hair, makeup, and occlusions. Robustness requires a large …