Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …

In this work, we investigate the problem of creating high-fidelity 3D content from only a single
image. This is inherently challenging: it essentially involves estimating the underlying 3D …

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 …

Recent years have seen remarkable progress in deep learning powered visual content
creation. This includes deep generative 3D-aware image synthesis, which produces high …

Reconstructing 3D objects from a single image guided by pretrained diffusion models has
demonstrated promising outcomes. However, due to utilizing the case-agnostic rigid …

We present a one-shot method to infer and render a photorealistic 3D representation from a
single unposed image (eg, face portrait) in real-time. Given a single RGB input, our image …

Abstract 3D GAN inversion aims to achieve high reconstruction fidelity and reasonable 3D
geometry simultaneously from a single image input. However, existing 3D GAN inversion …

We present a method that reconstructs and animates a 3D head avatar from a single-view
portrait image. Existing methods either involve time-consuming optimization for a specific …

Recent progress in NeRF-based GANs has introduced a number of approaches for high-
resolution and high-fidelity generative modeling of human heads with a possibility for novel …

Many videos contain flickering artifacts; common causes of flicker include video processing
algorithms, video generation algorithms, and capturing videos under specific situations …