We have witnessed significant progress in deep learning-based 3D vision ranging from
neural radiance field (NeRF) based 3D representation learning to applications in novel view …

Generative systems for graphical assets have the potential to provide users with high quality
assets at the push of a button. However, there are many forms of assets, and many …

The generation of large-scale urban layouts has garnered substantial interest across various
disciplines. Prior methods have utilized procedural generation requiring manual rule coding …

We develop a diffusion-based approach for various document layout sequence generation.
Layout sequences specify the contents of a document design in an explicit format. Our novel …

Lighting effects such as shadows or reflections are key in making synthetic images realistic
and visually appealing. To generate such effects, traditional computer graphics uses a …

Modeling and designing urban building layouts is of significant interest in computer vision,
computer graphics, and urban applications. A building layout consists of a set of buildings in …

Procedural content generation (PCG) can be applied to a wide variety of tasks in games,
from narratives, levels and sounds, to trees and weapons. A large amount of game content is …

Text-to-video generation has been dominated by end-to-end diffusion-based or
autoregressive models. On one hand, those novel models provide plausible versatility, but …

In many urban planning and visualization applications, it is crucial to have 3D window
details. However, the process of acquiring and reconstructing them can be challenging …

3D window details for buildings are important in many 3D simulation and visualization
applications. However, they are not easy to acquire or reconstruct. Thus, many 3D city …