論文閱讀 ECCV 2020 — House-GAN: Relational Generative Adversarial Networks for Graph-constrained House…



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該論文嘗試在住宅設計的迭代過程中,將 Deep Learning 應用於平面圖生成的環節,並提出新穎的模型架構,稱為「 House-GAN 」。作者們將建築設計上常用來表達空間鄰接關係的 Bubble diagram 轉化為 Graph structure data,並定義為…

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