UI Wireframes

UI wireframes, skeletal representations of user interfaces, are increasingly studied for automated generation and analysis using deep learning. Current research focuses on developing generative models (e.g., transformer-based architectures) to create semantically rich wireframes from various inputs, including sketches and 3D models, and on improving robust detection algorithms (e.g., graph neural networks) that handle occlusions and incomplete data. These advancements are significant for streamlining web and app development, enabling efficient conversion of design concepts into functional code, and facilitating improved 3D scene reconstruction and understanding.