神经逆编织：从图像到制造指令
Neural Inverse Knitting: From Images to Manufacturing Instructions
摘要：
最近的潜力带来的大规模定制的整体服装针织机的动机，我们介绍了新的问题，自动机器指令生成所需的物理产品，我们适用于机器编织使用一个单一的图像。我们建议通过直接学习从真实图像合成常规机器指令来解决这个问题。我们创建了一个固化的数据集的真实样本与他们的指令对应，并建议使用合成图像，以一种新的方式来增强它。我们从理论上激励我们的数据混合框架，并显示实证结果表明，使真实图像看起来更合成是有益的，在我们的问题设置。
英文摘要：
Motivated by the recent potential of mass customization brought by whole-garment knitting machines, we introduce the new problem of automatic machine instruction generation using a single image of the desired physical product, which we apply to machine knitting. We propose to tackle this problem by directly learning to synthesize regular machine instructions from real images. We create a cured dataset of real samples with their instruction counterpart and propose to use synthetic images to augment it in a novel way. We theoretically motivate our data mixing framework and show empirical results suggesting that making real images look more synthetic is beneficial in our problem setup.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
