A Research of Neural Style Transfer on Line Structure Based on Sequence to Sequence Learning
It has always been a challenge for drawing novices to start learning from a zero proficiency level, oftentimes the process itself can discourage them from continuing. Imagine if there was a method that could automatically transform line shapes into arbitrary styles, it would be a time-saving wonder....
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9117099/ |