Generating 3D Interior Design

Generating 3D Interior Design for Point Cloud Scene Understanding and Room Layout Analysis (SoSe 2022)

Data-driven algorithms require a reasonable amount of data. Especially for 3D scenes, the amount and kind of training data available for learning highly accurate and robust models is still very limited. In the course of the project, the lack of data is reduced by generating appealing 3D interior scenes to facilitate the learning of powerful models for scene understanding and room layout analysis.

The project is managed via the Moodle room.