Creature grammar for creative modeling of 3D monsters

Guo, Xuekun; Lin, Juncong; Xu, Kai; Jin, Xiaogang

doi:10.1016/j.gmod.2014.03.019

Cited by 26 publications

(9 citation statements)

References 23 publications

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“…Creative tree modeling . Several exploratory approaches, such as previous studies, have been proposed to assist users to efficiently create high‐quality 3D shapes. The recent approach by Wang et al is the most relevant work to ours.…”

Section: Related Workmentioning

confidence: 99%

Topologically consistent leafy tree morphing

Wang

Deng

et al. 2017

Computer Animation & Virtual

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We present a novel morphing technique to generate pleasing visual effects between 2 topologically varying trees while preserving the topological consistency and botanical meanings of any in-between shapes as natural trees. Specifically, we first efficiently convert leafy trees into botanically inspired chain-lobe representations in an automatic way. With the aid of branching-pattern aware, one-to-many correspondences between branches and leaves, we hierarchically interpolate branches of in-between trees while maintaining their topological consistencies. Finally, we simultaneously interpolate foliage, specifically every single leaf, during the morphing process, avoiding the generation of unpleasant "floating" leaves. We demonstrate the effectiveness of our approach by creating visually compelling tree morphing animations, even between cross-species.

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Section: Related Workmentioning

confidence: 99%

Topologically consistent leafy tree morphing

Wang

Deng

et al. 2017

Computer Animation & Virtual

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“…Kraevoy et al [KJS07] describe a system for shape creation via interchanging parts between a small set of compatible shapes. Guo et al [GLXJ14] propose assemblybased creature modeling guided by a shape grammar.…”

Section: Interactive Shape Modeling and Editingmentioning

confidence: 99%

Data-driven shape analysis and processing

Kim

Huang

et al. 2016

SIGGRAPH ASIA 2016 Courses

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Section: Interactive Shape Modelling and Editingmentioning

confidence: 99%

Data‐Driven Shape Analysis and Processing

Kim

Huang

et al. 2016

Computer Graphics Forum

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Data‐driven methods serve an increasingly important role in discovering geometric, structural and semantic relationships between shapes. In contrast to traditional approaches that process shapes in isolation of each other, data‐driven methods aggregate information from 3D model collections to improve the analysis, modelling and editing of shapes. Data‐driven methods are also able to learn computational models that reason about properties and relationships of shapes without relying on hard‐coded rules or explicitly programmed instructions. Through reviewing the literature, we provide an overview of the main concepts and components of these methods, as well as discuss their application to classification, segmentation, matching, reconstruction, modelling and exploration, as well as scene analysis and synthesis. We conclude our report with ideas that can inspire future research in data‐driven shape analysis and processing.

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Creature grammar for creative modeling of 3D monsters

Cited by 26 publications

References 23 publications

Topologically consistent leafy tree morphing

Topologically consistent leafy tree morphing

Data-driven shape analysis and processing

Data‐Driven Shape Analysis and Processing

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