Abstract We present Text2Room, a method for generating room-scale textured 3D meshes
from a given text prompt as input. To this end, we leverage pre-trained 2D text-to-image …

This paper presents a new text-guided technique for generating 3D shapes. The technique
leverages a hybrid 3D shape representation, namely EXIM, combining the strengths of …

With the continuous advancement of autonomous driving technology, 3D vehicle detection
has become of widespread interest. The traditional aggregate view object detection (AVOD) …

Text-guided 3D face synthesis has achieved remarkable results by leveraging text-to-image
(T2I) diffusion models. However most existing works focus solely on the direct generation …

We introduce DreamDrone, a novel zero-shot and training-free pipeline for generating
unbounded flythrough scenes from textual prompts. Different from other methods that focus …

We introduce DreamDrone, an innovative method for generating unbounded flythrough
scenes from textual prompts. Central to our method is a novel feature-correspondence …

Accurate 3D point cloud object detection is crucially important for autonomous driving
vehicles. The sparsity of point clouds in 3D scenes, especially for smaller targets like …

Neural Radiance Fields (NeRFs) have shown great potential in modelling 3D scenes.
Dynamic NeRFs extend this model by capturing time-varying elements, typically using …

Generating 3D visual scenes is at the forefront of visual generative AI, but current 3D
generation techniques struggle with generating scenes with multiple high-resolution objects …

Mixed reality (MR) in-situ authoring has demonstrated advantages for 3D content design
regarding perception, understanding, and accessibility, satisfying the growing demand for …