论文标题
SHAD3S：素描，阴影和阴影的模型
SHAD3S: A model to Sketch, Shade and Shadow
论文作者
论文摘要
孵化是艺术家使用的一种常见方法，可以强调草图的第三维并照亮场景。我们的系统Shad3S试图在孵化通用的三维（3D）形状上与人类竞争，并尝试在形式探索练习中协助她。我们的方法的新颖性在于，我们对输入没有任何假设，而不是它代表3D形状，但是，在给定照明和纹理的上下文信息的情况下，我们在草图上综合了准确的孵化模式，而无需访问3D或Pseudo 3D。在此过程中，我们有助于a）一种廉价但有效的方法，可以合成一个足够大的高保真数据集，与任务有关； b）使用条件生成对抗网络（CGAN）创建管道； c）与GIMP建立互动实用程序，这是艺术家进行自动孵化或表单探索练习的工具。对该工具的用户评估表明，在样式和形状方面，模型性能确实令人满意地概括了多样化的输入。简单的开始分数比较表明，生成的分布与地面真相一样多样化。
Hatching is a common method used by artists to accentuate the third dimension of a sketch, and to illuminate the scene. Our system SHAD3S attempts to compete with a human at hatching generic three-dimensional (3D) shapes, and also tries to assist her in a form exploration exercise. The novelty of our approach lies in the fact that we make no assumptions about the input other than that it represents a 3D shape, and yet, given a contextual information of illumination and texture, we synthesise an accurate hatch pattern over the sketch, without access to 3D or pseudo 3D. In the process, we contribute towards a) a cheap yet effective method to synthesise a sufficiently large high fidelity dataset, pertinent to task; b) creating a pipeline with conditional generative adversarial network (CGAN); and c) creating an interactive utility with GIMP, that is a tool for artists to engage with automated hatching or a form-exploration exercise. User evaluation of the tool suggests that the model performance does generalise satisfactorily over diverse input, both in terms of style as well as shape. A simple comparison of inception scores suggest that the generated distribution is as diverse as the ground truth.
