Room Generation

Room generation research focuses on automatically creating realistic and diverse 3D indoor scenes, driven by applications in virtual reality, gaming, and interior design. Current efforts leverage various deep learning architectures, including diffusion models, score-based methods, and hierarchical graph networks, often incorporating large language models for text-based control and editing of scene layouts and object placement. These advancements aim to improve the quality, controllability, and efficiency of 3D room generation, ultimately democratizing access to high-fidelity 3D scene design for a wider range of users and applications.