| Autor: |
Mihai, Daniela, Hare, Jonathon |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
5th Workshop on Machine Learning for Creativity and Design of the Neural Information Processing Systems (NeurIPS) 2021 Conference |
| Druh dokumentu: |
Working Paper |
| Popis: |
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. |
| Databáze: |
arXiv |
| Externí odkaz: |
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