This paper introduces a model for producing stylized line drawings from 3D
shapes. The model takes a 3D shape and a viewpoint as input, and outputs a
drawing with textured strokes, with variations in stroke thickness,
deformation, and color learned from an artist's style. The model is fully
differentiable. We train its parameters from a single training drawing of
another 3D shape. We show that, in contrast to previous image-based methods,
the use of a geometric representation of 3D shape and 2D strokes allows the
model to transfer important aspects of shape and texture style while preserving
contours. Our method outputs the resulting drawing in a vector representation,
enabling richer downstream analysis or editing in interactive applications.

本论文介绍了一种从三维形状中生成艺术风格化线条图案的模型，其输入为三维形状及视角，输出为带有纹理笔触的绘画，包括笔画粗细、变形和颜色，可以从艺术家的风格中学习。该模型是全可微分的，并训练其参数来自三维形状的单个训练图形。相对于之前基于图像的方法，使用 3D 形状和 2D 笔画的几何表达方式允许模型传输形状和纹理风格的重要方面，同时保留轮廓。我们的方法以向量表示形成的绘画，可用于交互式应用中的更丰富后续分析或编辑。