GeoCode: Interpretable Shape Programs

IF 2.7 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, Rana Hanocka
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引用次数: 0

Abstract

The task of crafting procedural programs capable of generating structurally valid 3D shapes easily and intuitively remains an elusive goal in computer vision and graphics. Within the graphics community, generating procedural 3D models has shifted to using node graph systems. They allow the artist to create complex shapes and animations through visual programming. Being a high-level design tool, they made procedural 3D modelling more accessible. However, crafting those node graphs demands expertise and training. We present GeoCode, a novel framework designed to extend an existing node graph system and significantly lower the bar for the creation of new procedural 3D shape programs. Our approach meticulously balances expressiveness and generalization for part-based shapes. We propose a curated set of new geometric building blocks that are expressive and reusable across domains. We showcase three innovative and expressive programs developed through our technique and geometric building blocks. Our programs enforce intricate rules, empowering users to execute intuitive high-level parameter edits that seamlessly propagate throughout the entire shape at a lower level while maintaining its validity. To evaluate the user-friendliness of our geometric building blocks among non-experts, we conduct a user study that demonstrates their ease of use and highlights their applicability across diverse domains. Empirical evidence shows the superior accuracy of GeoCode in inferring and recovering 3D shapes compared to an existing competitor. Furthermore, our method demonstrates superior expressiveness compared to alternatives that utilize coarse primitives. Notably, we illustrate the ability to execute controllable local and global shape manipulations. Our code, programs, datasets and Blender add-on are available at https://github.com/threedle/GeoCode.

Abstract Image

GeoCode:可解释的形状程序
在计算机视觉和图形学中,制作能够轻松直观地生成结构有效的3D形状的程序程序的任务仍然是一个难以捉摸的目标。在图形界,生成程序3D模型已经转向使用节点图系统。它们允许艺术家通过视觉编程创造复杂的形状和动画。作为一种高级设计工具,它们使程序性3D建模更容易获得。然而,制作这些节点图需要专业知识和培训。我们提出了GeoCode,这是一个新的框架,旨在扩展现有的节点图系统,并大大降低了创建新的程序性3D形状程序的门槛。我们的方法一丝不苟地平衡了基于零件形状的表现力和泛化性。我们提出了一套精心设计的新的几何构建块,这些构建块具有跨领域的表现力和可重用性。我们展示了通过我们的技术和几何建筑模块开发的三个创新和富有表现力的项目。我们的程序执行复杂的规则,使用户能够执行直观的高级参数编辑,在保持其有效性的同时,在较低的水平上无缝地传播到整个形状。为了在非专家中评估我们的几何构建块的用户友好性,我们进行了一项用户研究,展示了它们的易用性,并强调了它们在不同领域的适用性。经验证据表明,与现有的竞争对手相比,GeoCode在推断和恢复3D形状方面具有更高的准确性。此外,与使用粗原语的替代方法相比,我们的方法具有更好的表达能力。值得注意的是,我们说明了执行可控的局部和全局形状操作的能力。我们的代码,程序,数据集和搅拌机插件可在https://github.com/threedle/GeoCode。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computer Graphics Forum
Computer Graphics Forum 工程技术-计算机:软件工程
CiteScore
5.80
自引率
12.00%
发文量
175
审稿时长
3-6 weeks
期刊介绍: Computer Graphics Forum is the official journal of Eurographics, published in cooperation with Wiley-Blackwell, and is a unique, international source of information for computer graphics professionals interested in graphics developments worldwide. It is now one of the leading journals for researchers, developers and users of computer graphics in both commercial and academic environments. The journal reports on the latest developments in the field throughout the world and covers all aspects of the theory, practice and application of computer graphics.
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