Semantic Layout

Semantic layout focuses on using semantic information, such as labels or text descriptions, to guide the generation or manipulation of images. Current research emphasizes leveraging deep learning models, particularly diffusion models and GANs, often incorporating attention mechanisms and adaptive strategies to improve image quality, layout fidelity, and style control. This area is significant for advancing image synthesis, editing, and data augmentation across diverse applications, including satellite imagery generation, artistic typography, and realistic scene composition. The ability to precisely control image generation based on semantic layouts offers substantial improvements in efficiency and creative control.