论文标题
旋转室内场景计划的对抗模型
Adversarial Model for Rotated Indoor Scenes Planning
论文作者
论文摘要
在本文中，我们提出了一个对抗模型，用于在旋转内部房间时生产用于内部场景的家具布局。提出的模型结合了条件对抗网络，旋转模块，模式模块和旋转判别器模块。与现场合成的先前工作相比，我们提出的三个模块增强了自动层产生的能力，并减少了内部房间旋转期间模式崩溃的能力。我们对拟议的现实世界内部布局数据集进行了实验，该数据集包含来自专业设计师的14400个设计。我们的数值结果表明，所提出的模型为四种房间（包括卧室，浴室，学习室和Tatami房间）提供了更高质量的布局。
In this paper, we propose an adversarial model for producing furniture layout for interior scene synthesis when the interior room is rotated. The proposed model combines a conditional adversarial network, a rotation module, a mode module, and a rotation discriminator module. As compared with the prior work on scene synthesis, our proposed three modules enhance the ability of auto-layout generation and reduce the mode collapse during the rotation of the interior room. We conduct our experiments on a proposed real-world interior layout dataset that contains 14400 designs from the professional designers. Our numerical results demonstrate that the proposed model yields higher-quality layouts for four types of rooms, including the bedroom, the bathroom, the study room, and the tatami room.
