通过参考编辑增强三维形状的美感

IF 7.8 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Graphics Pub Date : 2024-11-19 DOI:10.1145/3687954
Minchan Chen, Manfred Lau
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引用次数: 0

摘要

虽然以前也有作品探索过增强图像美感的方法,但三维形状的自动美化仅限于特定形状,如三维人脸模型。在本文中,我们介绍了一种自动增强一般三维形状美感的框架。我们的方法采用了基于参考的美化策略。我们首先进行数据收集,收集各种三维形状的美学评分,创建三维形状美学数据集。然后,我们执行基于参考的编辑,对输入的形状进行编辑和美化,使其看起来更像某个具有美感的参考形状。具体来说,我们提出了一个以参考为导向的全局变形框架,对输入形状进行连贯变形,使其结构比例更接近参考形状。然后,我们会选择性地将一些局部美学部分从参考形状移植到输入形状中,从而获得美化后的输出形状。比较结果表明,我们的参考指导三维变形算法优于现有技术。此外,定量和定性评估表明,我们的美学增强框架的性能与人类感知和现有的三维形状美学评估一致。
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Enhancing the Aesthetics of 3D Shapes via Reference-based Editing
While there have been previous works that explored methods to enhance the aesthetics of images, the automated beautification of 3D shapes has been limited to specific shapes such as 3D face models. In this paper, we introduce a framework to automatically enhance the aesthetics of general 3D shapes. Our approach employs a reference-based beautification strategy. We first performed data collection to gather the aesthetics ratings of various 3D shapes to create a 3D shape aesthetics dataset. Then we perform reference-based editing to edit the input shape and beautify it by making it look more like some reference shape that is aesthetic. Specifically, we propose a reference-guided global deformation framework to coherently deform the input shape such that its structural proportions will be closer to those of the reference shape. We then optionally transplant some local aesthetic parts from the reference to the input to obtain the beautified output shapes. Comparisons show that our reference-guided 3D deformation algorithm outperforms existing techniques. Furthermore, quantitative and qualitative evaluations demonstrate that the performance of our aesthetics enhancement framework is consistent with both human perception and existing 3D shape aesthetics assessment.
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来源期刊
ACM Transactions on Graphics
ACM Transactions on Graphics 工程技术-计算机:软件工程
CiteScore
14.30
自引率
25.80%
发文量
193
审稿时长
12 months
期刊介绍: ACM Transactions on Graphics (TOG) is a peer-reviewed scientific journal that aims to disseminate the latest findings of note in the field of computer graphics. It has been published since 1982 by the Association for Computing Machinery. Starting in 2003, all papers accepted for presentation at the annual SIGGRAPH conference are printed in a special summer issue of the journal.
期刊最新文献
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