VRTree: Example‐Based 3D Interactive Tree Modeling in Virtual Reality
Abstract We present VRTree, an example‐based interactive virtual reality (VR) system designed to efficiently create diverse 3D tree models while faithfully preserving botanical characteristics of real‐world references. Our method employs a novel representation called Hierarchical Branch Lobe (HBL), which captures the hierarchical features of trees and serves as a versatile intermediary for intuitive VR interaction. The HBL representation decomposes a 3D tree into a series of concise examples, each consisting of a small set of main branches, secondary branches, and lobe‐bounded twigs. The core of our system involves two key components: (1) We design an automatic algorithm to extract an initial library of HBL examples from real tree point clouds. These HBL examples can be optionally refined according to user intentions through an interactive editing process. (2) Users can interact with the extracted HBL examples to assemble new tree structures, ensuring the local features align with the target tree species. A shape‐guided procedural growth algorithm then transforms these assembled HBL structures into highly realistic, finegrained 3D tree models. Extensive experiments and user studies demonstrate that VRTree outperforms current state‐of‐the‐art approaches, offering a highly effective and easy‐to‐use VR tool for tree modeling.
Authors
- Zhanglin Cheng (ORCID: https://orcid.org/0000-0002-3360-2679)
- Fangyuan Tu (ORCID: https://orcid.org/0000-0001-5037-4391)
- Zhihao Liu (ORCID: https://orcid.org/0000-0003-1099-5745)
- Mingxin Yang (ORCID: https://orcid.org/0000-0003-1744-5607)
- Di Wu (ORCID: https://orcid.org/0009-0006-6838-9050)
- Fang Liu (ORCID: https://orcid.org/0009-0001-5042-1538)
Institutions
- Chinese Academy of Sciences (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- University of Chinese Academy of Sciences (CN)
- The University of Tokyo (JP)
Publication Details
- Journal
- Computer Graphics Forum
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1111/cgf.15254
- Citations
- 1
- Primary Topic
- Computer Graphics and Visualization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.63
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Shenzhen Science and Technology Innovation Program