Metaverse is an evolving orchestrator of the next-generation Internet architecture that
produces an immersive and self-adapting virtual world in which humans perform activities …

We present a diffusion-based model for 3D-aware generative novel view synthesis from as
few as a single input image. Our model samples from the distribution of possible renderings …

Existing 3D-aware facial generation methods face a dilemma in quality versus editability:
they either generate editable results in low resolution, or high-quality ones with no editing …

Generative AI algorithms that are able to generate creative output are progressing at
tremendous speed. This paper presents a research agenda for Generative AI-based support …

In this work, we introduce CC3D, a conditional generative model that synthesizes complex
3D scenes conditioned on 2D semantic scene layouts, trained using single-view images …

Existing 3D-from-2D generators are typically designed for well-curated single-category
datasets, where all the objects have (approximately) the same scale, 3D location, and …

We propose a novel approach for unsupervised 3D animation of non-rigid deformable
objects. Our method learns the 3D structure and dynamics of objects solely from single-view …

Face reenactment methods attempt to restore and re-animate portrait videos as realistically
as possible. Existing methods face a dilemma in quality versus controllability: 2D GAN …

We introduce VIVE3D, a novel approach that extends the capabilities of image-based 3D
GANs to video editing and is able to represent the input video in an identity-preserving and …

Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using
supervision from pre-trained text-to-video models. However, existing representations for …