Neural Contours: Learning to Draw Lines from 3D Shapes

被引:17
|
作者
Liu, Difan [1 ]
Nabail, Mohamed [1 ]
Hertzmann, Aaron [2 ]
Kalogerakis, Evangelos [1 ]
机构
[1] Univ Massachusetts Amherst, Amherst, MA 01003 USA
[2] Adobe Res, San Francisco, CA USA
关键词
D O I
10.1109/CVPR42600.2020.00547
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:5427 / 5435
页数:9
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