This paper introduces a method for learning to generate line drawings from 3D models. Our architecture incorporates a differentiable module operating on geometric features of the 3D model, and an image-based module operating on view-based shape representations. At test time, geometric and view-based reasoning are combined with the help of a neural module to create a line drawing. The model is trained on a large number of crowdsourced comparisons of line drawings. Experiments demonstrate that our method achieves significant improvements in line drawing over the state-of-the-art when evaluated on standard benchmarks, resulting in drawings that are comparable to those produced by experienced human artists.

中文翻译：

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神经轮廓：学习从 3D 形状绘制线条

本文介绍了一种学习从 3D 模型生成线条图的方法。我们的架构包含一个对 3D 模型的几何特征进行操作的可微模块，以及一个对基于视图的形状表示进行操作的基于图像的模块。在测试时，几何推理和基于视图的推理在神经模块的帮助下相结合，以创建线条图。该模型在大量的线图众包比较上进行了训练。实验表明，当在标准基准上进行评估时，我们的方法在线条绘制方面取得了比最先进的显着改进，从而产生了与有经验的人类艺术家制作的绘图相当的绘图。