Analogist: Out-of-the-box visual in-context learning with image diffusion model
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 …
capability to accomplish various tasks with limited example pairs through analogical …
Gghead: Fast and generalizable 3d gaussian heads
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 …
quality 3D-aware human modeling. A core requirement is an efficient architecture that scales …
HomuGAN: A 3D-aware GAN with the Method of Cylindrical Spatial-Constrained Sampling
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 …
implicit space enabling the generation network to create highly realistic images with 3D …
Portrait3d: Text-guided high-quality 3d portrait generation using pyramid representation and gans prior
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 …
of human geometry prior and diffusion models to obtain guidance. However, relying solely …
The impact of AI on engineering design procedures for dynamical systems
Artificial intelligence (AI) is driving transformative changes across numerous fields,
revolutionizing conventional processes and creating new opportunities for innovation. The …
revolutionizing conventional processes and creating new opportunities for innovation. The …
Generating Editable Head Avatars with 3D Gaussian GANs
Generating animatable and editable 3D head avatars is essential for various applications in
computer vision and graphics. Traditional 3D-aware generative adversarial networks …
computer vision and graphics. Traditional 3D-aware generative adversarial networks …
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
Most advances in 3D Generative Adversarial Networks (3D GANs) largely depend on ray
casting-based volume rendering, which incurs demanding rendering costs. One promising …
casting-based volume rendering, which incurs demanding rendering costs. One promising …