Inpainting in Urban Design

Artificial Intelligence as a tool for thinking about sustainable cities and communities

Abstract

Objective – To recognize the potential of the inpainting tool, from generative neural network models for images, as a communication instrument in urban planning.

Methodology – Bibliographic research, for a critical and in-depth review of the existing literature, and experimental research, for the empirical verification of hypotheses through testing. In the experimental phase, seven experiments using inpainting were carried out to explore visual solutions that support more sustainable urban planning. Each experiment was designed to address a specific goal of Sustainable Development Goal 11, which seeks to make cities and human settlements more sustainable, through the use of different Brazilian scenarios with challenges to be overcome.

Originality/Relevance – The democratization of Generative Neural Network tools for images, such as inpainting, is still at an early stage, and their adoption in professional contexts remains limited. Likewise, studies correlating the use of these networks with urban planning are still scarce, both nationally and internationally.

Results – The findings show that the use of this tool may strengthen communication between urban planners and the population, thereby fostering more transparent and participatory urban planning, mitigating ambiguities and losses of meaning during the expression and dissemination of ideas. However, the study also highlights that the role of specialized urban design remains irreplaceable.

Theoretical/Methodological Contributions – The study contributes to the literature by proposing the use of inpainting as a complementary representational tool in the field of urban design, articulating concepts of artificial intelligence and sustainable planning. Methodologically, it demonstrates a replicable experimental model capable of testing urban scenarios based on specific SDG goals, opening opportunities for new hybrid approaches between traditional design practices and emerging digital technologies.

Social and Environmental Contributions – The research highlights the potential of inpainting to broaden social participation in urban planning processes, by facilitating the understanding of proposals and stimulating dialogue between experts and the community. Environmentally, the tool contributes to reflections on more sustainable urban solutions, by enabling quick and accessible visual simulations that emphasize the importance of integrating ecological and social aspects into city development.