Measuring the similarity of building patterns using Graph Fourier transform

Chen, Zhanlong; Ma, Xiaochuan; Yu, Wenhao; Wu, Liang; Xie, Zhen

doi:10.1007/s12145-021-00659-6

Cited by 4 publications

(1 citation statement)

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“…Road layout similarity (RLS) measures how well the regenerated road layouts match the characteristics of the target (AlHalawani et al 2014). Building layout similarity (BLS) evaluates the morphological and spatial similarity between regenerated and target buildings (Chen et al 2021). See supplementary for details.…”

Section: Experiments and Evaluationmentioning

confidence: 99%

Text2City: One-Stage Text-Driven Urban Layout Regeneration

Qin,

Zhao,

Sheng

et al. 2024

AAAI

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Regenerating urban layout is an essential process for urban regeneration. In this paper, we propose a new task called text-driven urban layout regeneration, which provides an intuitive input modal - text - for users to specify the regeneration, instead of designing complex rules. Given the target region to be regenerated, we propose a one-stage text-driven urban layout regeneration model, Text2City, to jointly and progressively regenerate the urban layout (i.e., road and building layouts) based on textual layout descriptions and surrounding context (i.e., urban layouts and functions of the surrounding regions). Text2City first extracts road and building attributes from the textual layout description to guide the regeneration. It includes a novel one-stage joint regenerator network based on the conditioned denoising diffusion probabilistic models (DDPMs) and prior knowledge exchange. To harmonize the regenerated layouts through joint optimization, we propose the interactive & enhanced guidance module for self-enhancement and prior knowledge exchange between road and building layouts during the regeneration. We also design a series of constraints from attribute-, geometry- and pixel-levels to ensure rational urban layout generation. To train our model, we build a large-scale dataset containing urban layouts and layout descriptions, covering 147K regions. Qualitative and quantitative evaluations show that our proposed method outperforms the baseline methods in regenerating desirable urban layouts that meet the textual descriptions.

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Section: Experiments and Evaluationmentioning

confidence: 99%