CitySculpt: 3D City Generation from Satellite Imagery with UV Diffusion

Generating 3D cities from satellite imagery opens up new avenues for gaming, urban planning, and cinematic production. However, the limited information from satellite views presents significant challenges, hindering existing methods from generating high-quality cities that meet application standards. To address these challenges, we propose CitySculpt, a UV diffusion-based framework for generating 3D cities with high-fidelity geometry and photorealistic textures. Specifically, we first generate the detailed 3D geometries by refining coarse structures using a UV normal diffusion network. Building on these refined geometries, we introduce a texture generation approach that produces photorealistic textures despite the limited satellite information. To ensure style consistency across multiple objects, we design a cross-attention mechanism that enables feature sharing among them. Additionally, we contribute the CitySculpt dataset, a collection of high-quality 3D urban assets with multi-view renderings and comprehensive annotations to advance research in 3D city generation. Experiments demonstrate that CitySculpt outperforms state-of-the-art approaches in both generating detailed individual buildings and creating cities with high visual quality and rich architectural details.