Controllable scene synthesis aims to create interactive environments for various industrial
use cases. Scene graphs provide a highly suitable interface to facilitate these applications …

3D indoor scenes are widely used in computer graphics, with applications ranging from
interior design to gaming to virtual and augmented reality. They also contain rich …

Abstract 3D city generation is a desirable yet challenging task since humans are more
sensitive to structural distortions in urban environments. Additionally generating 3D cities is …

The ability to synthesize realistic and diverse indoor furniture layouts automatically or based
on partial input, unlocks many applications, from better interactive 3D tools to data synthesis …

Despite the recent advancement of Generative Adversarial Networks (GANs) in learning 3D-
aware image synthesis from 2D data, existing methods fail to model indoor scenes due to …

We introduce a framework for action-driven evolution of 3D indoor scenes, where the goal is
to simulate how scenes are altered by human actions, and specifically, by object placements …

We present a generative neural network that enables us to generate plausible 3D indoor
scenes in large quantities and varieties, easily and highly efficiently. Our key observation is …

Controllable scene synthesis consists of generating 3D information that satisfy underlying
specifications. Thereby, these specifications should be abstract, ie allowing easy user …

We present DiffuScene for indoor 3D scene synthesis based on a novel scene configuration
denoising diffusion model. It generates 3D instance properties stored in an unordered object …

We address the task of indoor scene generation by generating a sequence of objects, along
with their locations and orientations conditioned on a room layout. Large-scale indoor scene …