Statement of problem Artificial intelligence applications are increasing in prosthodontics.
Still, the current development and performance of artificial intelligence in prosthodontic …

Nowadays, digital 3D models are in widespread and ubiquitous use, and each specific
application dealing with 3D geometry has its own quality requirements that restrict the class …

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

Limited by the nature of the low-dimensional representational capacity of 3DMM, most of the
3DMM-based face reconstruction (FR) methods fail to recover high-frequency facial details …

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 …

Monocular 3D facial shape reconstruction from a single 2D facial image has been an active
research area due to its wide applications. Inspired by the success of deep neural networks …

We present a novel approach for obtaining a complete and consistent 3D model
representation from incomplete surface scans, using a database of 3D shapes to provide …

Reconstructing the detailed geometric structure from a single face image is a challenging
problem due to its ill-posed nature and the fine 3D structures to be recovered. This paper …

The bidirectional reflectance distribution function (BRDF) is critical for rendering, and
accurate material representation requires data-driven reflectance models. However …

In this paper, we present a complete framework to inverse render faces with a 3D Morphable
Model (3DMM). By decomposing the image formation process into geometric and …