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

3D avatar creation plays a crucial role in the digital age. However, the whole production
process is prohibitively time-consuming and labor-intensive. To democratize this technology …

Abstract 3D-aware generative adversarial networks (GANs) synthesize high-fidelity and
multi-view-consistent facial images using only collections of single-view 2D imagery …

Neural radiance fields (NeRFs) refer to a suit of deep neural networks that are used to learn
and represent objects or scenes. Generally speaking, NeRFs have five main characters …

A recent trend in generative modeling is building 3D-aware generators from 2D image
collections. To induce the 3D bias, such models typically rely on volumetric rendering, which …

Recent years have witnessed the tremendous progress of 3D GANs for generating view-
consistent radiance fields with photo-realism. Yet, high-quality generation of human …

Unsupervised generation of clothed virtual humans with various appearance and
animatable poses is important for creating 3D human avatars and other AR/VR applications …

We propose pix2pix3D, a 3D-aware conditional generative model for controllable
photorealistic image synthesis. Given a 2D label map, such as a segmentation or edge map …

Generative models aim to learn the distribution of observed data by generating new
instances. With the advent of neural networks, deep generative models, including variational …

Unsupervised learning of 3D-aware generative adversarial networks has lately made much
progress. Some recent work demonstrates promising results of learning human generative …