Session Info

Map Diffusion – Text Promptable Map Generation Diffusion Model

9:15 am - 9:40 am

Marcin Przymus and Piotr Szymański

This paper introduces a novel text promptable map generation model, leveraging recent advancements in generative models. Promptable map generation has broad applications, democratizing access to geographic data, enhancing decision-making, improving communication, and enabling customization. Map Diffusion generates maps based on textual descriptions, allowing users to describe a region, and the model generates a corresponding map. We conduct a comprehensive review of related work, highlighting the unique contributions of our model. We also provide insights into dataset creation, model architecture, training procedures, and experimental results. This research marks a significant step in harnessing generative models for map generation, opening doors for future exploration in this field.