Exploring Text-based Realistic Building Facades Editing Applicaiton
Jing Wang, Xin Zhang

TL;DR
This paper introduces a diffusion model-based method for realistic, localized editing of building facades guided by text descriptions, advancing architectural design tools.
Contribution
It presents the Blended Latent Diffusion technique for facade editing, addressing challenges like resource constraints and enabling personalized architectural modifications.
Findings
Effective facade editing via diffusion models demonstrated
Blended Latent Diffusion improves editing quality and efficiency
Potential for generating and customizing architectural designs
Abstract
This paper explores the utilization of diffusion models and textual guidance for achieving localized editing of building facades, addressing the escalating demand for sophisticated editing methodologies in architectural design and urban planning. Leveraging the robust generative capabilities of diffusion models, this study presents a promising avenue for realistically synthesizing and modifying architectural facades. Through iterative diffusion and text descriptions, these models adeptly capture both the intricate global and local structures inherent in architectural facades, thus effectively navigating the complexity of such designs. Additionally, the paper examines the expansive potential of diffusion models in various facets, including the generation of novel facade designs, the enhancement of existing facades, and the realization of personalized customization. Despite their promise,…
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Taxonomy
TopicsBIM and Construction Integration
