描画ロボティクスarXiv:2201.08142
物理的身体を持つ深層画像最適化
Physically Embodied Deep Image Optimisation
微分可能ラスタライザと深層ネットワークで描画ストロークを最適化し、その結果をGコードに変換して描画ロボットに実際に絵を描かせる手法を提案した論文。
著者: Daniela Mihai, Jonathon Hare
分類: cs.RO, cs.CV
原文アブストラクト
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.
