Small data set stick figure generation method based on BPL

The invention discloses a small data set sketch generation method based on BPL. The method comprises the steps: learning strokes, stroke positions and stroke position association, generating probability models of various types, and carrying out the implementation of sketches according to different p...

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Bibliographic Details
Main Authors WANG ZHUXIAO, JIA JINGPING, ZHANG YING, TANG ZHIGUO, CHEN GUANLAN, LI WEI, GUAN ZHITAO
Format Patent
LanguageChinese
English
Published 07.01.2020
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Summary:The invention discloses a small data set sketch generation method based on BPL. The method comprises the steps: learning strokes, stroke positions and stroke position association, generating probability models of various types, and carrying out the implementation of sketches according to different probability models; wherein the probability model of the category T meets the following conditions: eis one example of the category T, I is a specific image of the example e, M is the number of examples corresponding to the category T, P is the probability, and m is the cycle number. According to the small data set stick figure generation method based on the BPL, the image with the good effect can be generated based on the small data set, the current situation that AI drawing can be conducted only through a large amount of original data is changed, efficiency is improved, and cost is reduced; on the basis of realizing the simulation of the original painting style, the template can be recreated according to the origi
Bibliography:Application Number: CN201910930272