From Image Generation to Infrastructure Design: a Multi-agent Pipeline for Street Design Generation

ArXi:2509.05469v2 Announce Type: replace Realistic visual renderings of street-design scenarios are essential for public engagement in active transportation planning. Traditional approaches are labor-intensive, hindering collective deliberation and collaborative decision-making. While AI-assisted generative design shows transformative potential by enabling rapid creation of design scenarios, existing generative approaches typically require large amounts of domain-specific