SimpModeling：绘制隐式场指导三维动物头部网格建模
SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design
摘要：
头部形状在3D角色设计中起着重要作用。在这项工作中，我们提出了一个新的基于草图的系统，帮助用户，特别是业余用户，很容易建模3D animalmorphic头-一种流行的头在角色设计。虽然草图提供了一种简单的方法来描绘所需的形状，它是具有挑战性的推断密集的几何信息从稀疏的线条画。最近，已经采取了基于深度网络的方法来解决这一挑战，并试图从很少的笔画中产生丰富的几何细节。然而，虽然这些方法减少了用户的工作量，但它们会导致目标形状的可控性降低。这主要是由于神经预测的不确定性。该系统从三个方面解决了这一问题，并提供了良好的可控性：1）将粗造型设计和几何细节设计分为两个阶段，分别提供不同的草图绘制手段：2）粗造型设计阶段，草图用于形状推理和几何约束，以确定全局几何，几何细节设计阶段，草图用于雕刻表面细节; 3）在这两个阶段中，我们都采用了先进的基于隐式的形状推理方法，该方法具有很强的处理手绘草图和用于训练的合成草图之间的领域差距的能力。实验结果证实了我们的方法的有效性和我们的交互系统的可用性。我们还为艺术家手动创建的高质量3D动物头部数据集做出了贡献。
英文摘要：
Head shapes play an important role in 3D character design. In this work, we propose SimpModeling, a novel sketch-based system for helping users, especially amateur users, easily model 3D animalmorphic heads - a prevalent kind of heads in character design. Although sketching provides an easy way to depict desired shapes, it is challenging to infer dense geometric information from sparse line drawings. Recently, deepnet-based approaches have been taken to address this challenge and try to produce rich geometric details from very few strokes. However, while such methods reduce users' workload, they would cause less controllability of target shapes. This is mainly due to the uncertainty of the neural prediction. Our system tackles this issue and provides good controllability from three aspects: 1) we separate coarse shape design and geometric detail specification into two stages and respectively provide different sketching means; 2) in coarse shape designing, sketches are used for both shape inference and geometric constraints to determine global geometry, and in geometric detail crafting, sketches are used for carving surface details; 3) in both stages, we use the advanced implicit-based shape inference methods, which have strong ability to handle the domain gap between freehand sketches and synthetic ones used for training. Experimental results confirm the effectiveness of our method and the usability of our interactive system. We also contribute to a dataset of high-quality 3D animal heads, which are manually created by artists.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
