We present InfiniCube, a scalable method for generating unbounded dynamic 3D driving
scenes with high fidelity and controllability. Previous methods for scene generation either …

3D Gaussian Splatting has demonstrated notable success in large-scale scene
reconstruction, but challenges persist due to high training memory consumption and storage …

Recent advancements in static feed-forward scene reconstruction have demonstrated
significant progress in high-quality novel view synthesis. However, these models often …

This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize
shape variations based on a single reference model. While generative methods for 3D …

Modern autonomous vehicle simulators feature an ever-growing library of assets, including
vehicles, buildings, roads, pedestrians, and more. While this level of customization proves …

In this dissertation I examine the main scaling challenges in autonomous driving
development, discussing recent advances in the field while contributing specific solutions to …