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 …

Text-to-image diffusion models have remarkably excelled in producing diverse high-quality
and photo-realistic images. This advancement has spurred a growing interest in …

Facial editing is an important task in vision and graphics with numerous applications.
However, existing works are incapable to deliver a continuous and fine-grained editing …

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 …

Portrait editing is a popular subject in photo manipulation. The Generative Adversarial
Network (GAN) advances the generating of realistic faces and allows more face editing. In …

High quality facial image editing is a challenging problem in the movie post-production
industry, requiring a high degree of control and identity preservation. Previous works that …

In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …

We introduce a highly robust GAN-based framework for digitizing a normalized 3D avatar of
a person from a single unconstrained photo. While the input image can be of a smiling …

Most 3D face reconstruction methods rely on 3D morphable models, which disentangle the
space of facial deformations into identity and expression geometry, and skin reflectance …

Recent methods for synthesizing 3D-aware face images have achieved rapid development
thanks to neural radiance fields, allowing for high quality and fast inference speed. However …