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

Abstract 3D-aware image synthesis aims to generate images of objects from multiple views
by learning a 3D representation. However, one key challenge remains: existing approaches …

We have witnessed rapid progress on 3D-aware image synthesis, leveraging recent
advances in generative visual models and neural rendering. Existing approaches however …

This paper studies compositional 3D-aware image synthesis for both single-object and multi-
object scenes. We observe that two challenges remain in this field: existing approaches (1) …

Abstract In recent years, Generative Adversarial Networks have achieved impressive results
in photorealistic image synthesis. This progress nurtures hopes that one day the classical …

Making generative models 3D-aware bridges the 2D image space and the 3D physical
world yet remains challenging. Recent attempts equip a Generative Adversarial Network …

The advancement of generative radiance fields has pushed the boundary of 3D-aware
image synthesis. Motivated by the observation that a 3D object should look realistic from …

Despite the rapid advance of 3D-aware image synthesis, existing studies usually adopt a
mixture of techniques and tricks, leaving it unclear how each part contributes to the final …

The advent of generative radiance fields has significantly promoted the development of 3D-
aware image synthesis. The cumulative rendering process in radiance fields makes training …

While 2D generative adversarial networks have enabled high-resolution image synthesis,
they largely lack an understanding of the 3D world and the image formation process. Thus …