Layout Annotation

Layout annotation focuses on automatically identifying and labeling the structural elements within images, particularly documents and user interfaces. Current research emphasizes improving the accuracy and robustness of these annotations, addressing ambiguities and inconsistencies in existing datasets through novel model architectures like bi-layout estimation and training-free diffusion methods. This work is crucial for advancing various applications, including document understanding, image synthesis, and mobile UI design, by providing high-quality, large-scale datasets for training and evaluating more effective machine learning models.