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Sketch completion using machine learning

机译:使用机器学习完成草图

摘要

Sketch completion using machine learning in a digital medium environment is described. Initially, a user sketches a digital image, e.g., using a stylus in a digital sketch application. A model trained using machine learning is leveraged to identify and describe visual characteristics of the user sketch. The visual characteristics describing the user sketch are compared to clusters of data generated by the model and that describe visual characteristics of a set of digital sketch images. Based on the comparison, digital sketch images having visual characteristics similar to the user sketch are identified from similar clusters. The similar images are returned for presentation as selectable suggestions for sketch completion of the sketched object.
机译:描述了在数字媒体环境中使用机器学习进行草图绘制的过程。最初,用户例如在数字素描应用中使用手写笔来素描数字图像。利用机器学习训练的模型可用来识别和描述用户草图的视觉特征。将描述用户草图的视觉特征与模型生成的数据簇进行比较,这些数据簇描述一组数字草图图像的视觉特征。基于该比较,从相似的簇中识别出具有类似于用户素描的视觉特征的数字素描图像。返回相似的图像以供呈现,作为草绘对象草绘完成的可选建议。

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