论文标题
适用于AI AID椅子设计的生成对抗网络
A Generative Adversarial Network for AI-Aided Chair Design
论文作者
论文摘要
我们提出了一种改善人类椅子设计的方法。该方法的目的是生成巨大的椅子候选者，以通过基于生成的椅子设计相应地创建草图和3D模型来促进人类设计师。它由图像合成模块组成，该模块了解训练数据集的基本分布，训练数据集是一个超分辨率模块，该模块可以提高生成的图像和人类参与的质量。最后，我们手动选择了一名生成的候选人来创建一个现实生活椅供插图。
We present a method for improving human design of chairs. The goal of the method is generating enormous chair candidates in order to facilitate human designer by creating sketches and 3d models accordingly based on the generated chair design. It consists of an image synthesis module, which learns the underlying distribution of training dataset, a super-resolution module, which improve quality of generated image and human involvements. Finally, we manually pick one of the generated candidates to create a real life chair for illustration.
