ArchiDiff: Advancing AI-Driven 3D Reconstruction for Architectural Design
ArchiDiff represents a significant advancement in AI-driven architectural visualization by addressing the long-standing limitations of 3D reconstruction from 2D images. While traditional methods perform adequately with small or simple scenes, they often struggle to handle complex, large-scale architectural forms. ArchiDiff overcomes these challenges by integrating a curated architectural dataset, diffusion-based 3D generation, and interactive design tools that support early-stage architectural workflows. This platform enables architects to seamlessly convert images into accurate point-cloud forms and modify them instantly using intuitive 2D interactions. Architectural Design Challenges in Image-Based 3D Reconstruction 3D reconstruction from images in architecture remains limited due to occlusions, irregular geometries, and dense urban environments that complicate visual interpretation. Existing reconstruction pipelines typically fail to generalize to buildings with complex facades, ...
