用程序化规则生成建筑立面，实现精准结构修改与真实感渲染。
Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generation
- 通过逆向程序模块提取立面层级布局，构建控制地图。
- 支持楼层复制、窗格重排等结构编辑，保持局部细节真实。
- 适合建筑可视化、设计原型快速迭代的用户使用。
我们采用分层程序化规则，在稳定扩散框架内生成控制地图，以生成逼真的建筑立面图像。从单张输入图像及其分割图出发，利用反向程序模块识别立面的分层布局。结合该层级结构与几何特征，提出一种新型ControlNet管道，通过程序化变换引导新立面图像生成。该方法可直接在控制地图中集成层级对齐，精确引导基于扩散的生成过程，确保在进行大范围结构修改的同时维持局部外观保真度。综合评估包括与基于修复的方法对比及合成基准测试，结果表明本方法在保持建筑身份一致性和实现准确可控编辑方面表现更优。定量分析与用户反馈验证了方法的有效性。
原文摘要 · Abstract (English)
We use hierarchical procedural rules for the generation of control maps within the stable diffusion framework to produce photo-realistic architectural facade images. Starting from a single input image and its segmentation, we apply an inverse procedural module to identify the facade's hierarchical layout. Leveraging this hierarchy and structural features, we introduce a novel ControlNet pipeline that generates new facade imagery guided by procedural transformations. Our method enables various structural edits, including floor duplication and window rearrangement, by integrating hierarchical alignment directly into control maps. This precisely guides the diffusion-based generative process, ensuring local appearance fidelity alongside extensive structural modifications. Comprehensive evaluations, including comparisons with inpainting-based approaches and synthetic benchmarks, confirm our approach's superior capability in preserving architectural identity and achieving accurate, controllable edits. Quantitative results and user feedback validate our method's effectiveness.
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