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Exploratory Modeling with Collaborative Design Spaces

机译:协同设计空间的探索性建模

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Enabling ordinary people to create high-quality 3D models is a long-standing problem in computer graphics. In this work; we draw from the literature on design and human cognition to better understand the design processes of novice and casual modelers; whose goals and motivations are often distinct from those of professional artists. The result is a method for creating exploratory modeling tools; which are appropriate for casual users who may lack rigidly-specified goals or operational knowledge of modeling techniques.rnOur method is based on parametric design spaces; which are often high dimensional and contain wide quality variations. Our system estimates the distribution of good models in a space by tracking the modeling activity of a distributed community of users. These estimates drive intuitive modeling tools; creating a self-reinforcing system that becomes easier to use as more people participate.rnWe present empirical evidence that the tools developed with our method allow rapid creation of complex; high-quality 3D models by users with no specialized modeling skills or experience. We report analyses of usage patterns garnered throughout the year-long deployment of one such tool; and demonstrate the generality of the method by applying it to several design spaces.
机译:使普通人能够创建高质量3D模型是计算机图形学中的一个长期存在的问题。在这项工作中;我们从有关设计和人类认知的文献中汲取经验,以更好地理解新手和休闲建模者的设计过程;他们的目标和动机通常与职业艺术家的目标和动机不同。结果是一种创建探索性建模工具的方法。适用于可能缺乏严格指定目标或建模技术操作知识的休闲用户。rn我们的方法基于参数设计空间;通常尺寸较大,并且质量差异较大。我们的系统通过跟踪分布式用户社区的建模活动来估计空间中好的模型的分布。这些估算值可以驱动直观的建模工具。我们提供了经验证据,证明使用我们的方法开发的工具可以快速创建复杂的事物;没有专业建模技能或经验的用户提供的高质量3D模型。我们报告了一种工具在整个一年的部署过程中获得的使用模式分析。并通过将其应用到多个设计空间来证明该方法的一般性。

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