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Found 4 papers, 2 papers with code
How does spatial structure affect psychological restoration? A method based on Graph Neural Networks and Street View Imagery
In this work, a spatial-dependent graph neural networks (GNNs) approach is proposed to reveal the relation between spatial structure and restoration quality on an urban scale.
A natural language processing-based approach: mapping human perception by understanding deep semantic features in street view images
However, this approach using only image-shallow information makes it difficult to comprehensively understand the deep semantic features of human perception of a scene.
Text Semantics to Image Generation: A method of building facades design base on Stable Diffusion model
We first fine-tuned the Stable Diffusion model on the CMP Fa-cades dataset using the LoRA (Low-Rank Adaptation) approach, then we ap-ply the ControlNet model to further control the output.
Isolation Mondrian Forest for Batch and Online Anomaly Detection
We propose a new method, named isolation Mondrian forest (iMondrian forest), for batch and online anomaly detection.
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