3D Face

3D face modeling focuses on creating and manipulating realistic three-dimensional representations of human faces, primarily for applications in computer vision, graphics, and medicine. Current research emphasizes developing robust and efficient methods for 3D face reconstruction from various input modalities (e.g., images, sketches, scans), often employing deep learning architectures like GANs, diffusion models, and neural radiance fields (NeRFs), along with parametric models such as 3DMMs. These advancements enable precise control over facial attributes (identity, expression, age, lighting), facilitating applications ranging from forensic facial reconstruction and personalized avatar creation to the development of more sophisticated facial recognition systems and the analysis of facial dysmorphologies.