Optimal Layout
Optimal layout generation focuses on automatically creating aesthetically pleasing and functionally effective arrangements of elements, whether in document design, user interfaces, or physical spaces like warehouses. Current research emphasizes the use of diffusion models, large language models (LLMs), and transformer-based architectures, often incorporating techniques like optimal transport and graph theory to address challenges such as layout sticking, error propagation, and efficient similarity assessment. These advancements have significant implications for automating design processes across various fields, improving efficiency and potentially enabling more accessible design tools for non-professionals.
Papers
LayoutFlow: Flow Matching for Layout Generation
Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence
Hsiu-Wei Yang, Abhinav Agrawal, Pavlos Fragkogiannis, Shubham Nitin Mulay