今天介绍加拿大SFU大学 Yasutaka Furukawa 组关于房屋floorplan平面图生成的新工作 House-GAN++: Generative Adversarial Layout Refinement Networks，此工作已被今年的CVPR 2021 …

2019年7月17日 · In this post, I summarize a part of my thesis, submitted at Harvard in May 2019, where Generative Adversarial Neural Networks (GANs) get leveraged to design floor plans, …

2023年10月7日 · This study produced thousands of different floor plans through the Magnetizing plug-in in Grasshopper. They differ in the number of rooms, room area, and relationship …

The core idea of this project is to dynamically create floorplans using generative adversial networks (GAN). The networks generate floorplans examples based on input by a user. The …

2024年3月1日 · To address this issue, our research introduces a novel framework based on a Graph-Constrained Generative Adversarial Network (GC-GAN) specialized for generating …

In this work, we propose a generative adversarial network, FloorGAN, to synthesize floor plans guided by user constraints. Our approach considers user inputs in the form of room types, and …

2021年11月5日 · We propose to produce the human-activity map either automatically by a pre-trained generative adversarial network (GAN) model, or semi-automatically by synthesizing it …

2020年1月14日 · In this article, we propose showcasing possibilities offered by Generative Adversarial Neural Networks models (GANs), and their ability to generate relevant floor plan …

I will create programmatic diagrams for all floor plans in order to create a consistent dataset and to also inform the model of different room use. I will also attempt to create different models to …

Gan Plan Generates floorplans from a room graph using a Generative Adversarial Network trained on real floorplans. Click on the circles to the left to add rooms and then drag from one …