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 …

In this work, we present SceneDreamer, an unconditional generative model for unbounded
3D scenes, which synthesizes large-scale 3D landscapes from random noise. Our …

The field of neural style transfer (NST) has witnessed remarkable progress in the past few
years, with approaches being able to synthesize artistic and photorealistic images and …

Simulation has become, in many application areas, a sine-qua-non. Most recently, COVID-
19 has underlined the importance of simulation studies and limitations in current practices …

3D city generation with NeRF-based methods shows promising generation results but is
computationally inefficient. Recently 3D Gaussian Splatting (3D-GS) has emerged as a …

Computer graphics research frequently evaluates research outputs with user studies, often
through online crowdworking platforms. When performed carefully and thoughtfully, studies …

For artists or graphic designers, the spatial arrangement of a scene is a critical design
choice. However, existing text-to-image diffusion models provide limited support for …

A prototype Metaverse experience was created in which users could explore hierarchical
cybersecurity data. A small group of participants were surveyed on their attitudes to the …

This PhD project proposes a foundational research to classify and analyse how 3d user
interfaces and interaction patterns in mixed realities can be integrated to and improve …

Supp section-3 provides the details of our experimental setup, the features and details of the
base implementation model, and text-to-image generation through the base model which …