The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …

We present Layout-Your-3D, a framework that allows controllable and compositional 3D
generation from text prompts. Existing text-to-3D methods often struggle to generate assets …

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

Understanding the evolution of 3D scenes is important for effective autonomous driving.
While conventional methods mode scene development with the motion of individual …

Diffusion-based generative models have achieved remarkable progress in visual content
generation. However, traditional diffusion models directly denoise the entire image from …

Recent advancements in 3D diffusion-based semantic scene generation have gained
attention. However, existing methods rely on unconditional generation and require multiple …

Can robots imagine or generate maps like humans do, especially when only limited
information can be perceived like blind people? To address this challenging task, we …

In this paper, we propose OCCVAR, a generative occupancy world model that simulates the
movement of the ego vehicle and the evolution of the surrounding environment. Different …