Physical sketches are created by learning programs to control a drawing robot. A differentiable rasteriser is used to optimise sets of drawing strokes to match an input image, using deep networks to provide an encoding for which we can compute a loss. The optimised drawing primitives can then be translated into G-code commands which command a robot to draw the image using drawing instruments such as pens and pencils on a physical support medium.
翻译:物理素描是通过学习程序来控制绘图机器人而创造的。 使用一种不同的光栅来优化匹配输入图像的画划线组合, 使用深网络来提供一个编码, 我们可以计算损失。 然后, 优化的原始绘图可以转换为 G- 代码命令, 命令机器人使用物理支持介质上的笔和铅笔等绘图仪器来绘制图像 。