Offset Building Model

Offset building models represent a diverse set of approaches leveraging the concept of offsets—differences between related data points—to improve various tasks. Current research focuses on applications such as 3D human-object interaction modeling, improving large language model alignment through preference optimization, and enhancing the accuracy of building footprint extraction from aerial imagery. These models often incorporate advanced techniques like normalizing flows, multi-graph convolutional networks, and prompt-based frameworks to achieve higher accuracy and efficiency, impacting fields ranging from computer vision and natural language processing to music information retrieval and urban transportation planning.