Generative 3D Avatar

Generative 3D avatar research aims to create realistic and controllable 3D human models using machine learning, overcoming limitations of traditional methods like 3D scanning. Current efforts focus on developing generative models, often leveraging diffusion models and latent spaces, to achieve photorealism, detailed facial features, and disentangled control over attributes like clothing and hair. This work is significant for applications in virtual and augmented reality, gaming, and film, offering efficient and flexible avatar creation and manipulation capabilities.