Layout Generation

Layout generation focuses on automatically creating aesthetically pleasing and functional arrangements of elements, such as in graphic design, urban planning, or user interface design. Current research emphasizes the use of diffusion models, transformers, and large language models (LLMs) to generate layouts, often incorporating techniques like spatial constraints, multi-modal conditioning, and iterative refinement based on human feedback or learned aesthetic principles. These advancements aim to improve the quality, diversity, and controllability of generated layouts, impacting fields ranging from automated design tools to the creation of realistic virtual environments. The development of new evaluation metrics and benchmark datasets is also a significant area of focus, enabling more robust comparison and advancement of the field.