Learning 3D head priors from large 2D image collections is an important step towards high-
quality 3D-aware human modeling. A core requirement is an efficient architecture that scales …

Visual In-Context Learning (ICL) has emerged as a promising research area due to its
capability to accomplish various tasks with limited example pairs through analogical …

Controllable 3D-aware scene synthesis seeks to disentangle the various latent codes in the
implicit space enabling the generation network to create highly realistic images with 3D …

Existing neural rendering-based text-to-3D-portrait generation methods typically make use
of human geometry prior and diffusion models to obtain guidance. However, relying solely …

Generating animatable and editable 3D head avatars is essential for various applications in
computer vision and graphics. Traditional 3D-aware generative adversarial networks …

Artificial intelligence (AI) is driving transformative changes across numerous fields,
revolutionizing conventional processes and creating new opportunities for innovation. The …

Most advances in 3D Generative Adversarial Networks (3D GANs) largely depend on ray
casting-based volume rendering, which incurs demanding rendering costs. One promising …