Michels, JorenMoonen, StevenGÜNEY, ENESTemsamani, Abdellatif BeyMichiels, NickCeylan, DuyguLi, Tzu-Mao2025-05-092025-05-092025978-3-03868-268-41017-4656https://doi.org/10.2312/egs.20251043https://diglib.eg.org/handle/10.2312/egs20251043A lot of work has been done surrounding the generation of realistically looking 3D models of trees. In most cases, L-systems are used to create variations of specific trees from a set of rules. While achieving good results, these techniques require knowledge of the structure of the tree to construct generative rules. We propose a system that can create variations of trees captured by a single RGB video. Using our method, plausible variations can be created without needing prior knowledge of the specific type of tree. This results in a fast and cost-efficient way to generate trees that resemble their real-life counterparts.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Image-based rendering; Reconstruction; Video segmentation; Mesh modelsComputing methodologies → Imagebased renderingReconstructionVideo segmentationMesh models10.2312/egs.202510434 pages