Procedural Modeling of Artificially Cultivated Shrub Roses
The Visual Computer, Vol. 40, Issue. 8, pp. 5091-5106, 2023.4.
Authors: Wataru Umezawa and Tomohiko Mukai
Paper and data: [paper] [code] [Springer DL]
Abstract: Decorative plants require skillful pruning by gardeners. However, conventional plant modeling techniques have focused only on the biological growth rules of wild plants and do not yet consider artificial care. In this study, an interactive system was developed for modeling the branching structure of artificially cultivated plants, particularly shrub roses. The structural parameters are designed to reflect the intentions of gardeners and differences between rose varieties. The proposed graphical controllers enable users to intuitively manipulate the tree shape, considering biological growth rules and artificial pruning. The proposed system can be used to efficiently generate the ideal shape and appearance of several types of shrub roses during the blooming season.
Artificial Pruning-Aware Procedural Modeling of Shrub Roses
Proceedings of International Conference on Cyberworlds 2022, pp.31-38, 2022.
Authors: Wataru Umezawa and Tomohiko Mukai
Paper and data: [preprint] [slides] [code] [IEEE DL]
Abstract: Roses fascinate people in several types of visual media such as movies and games. Although the beauty of roses is attributed to the underlying botanical structure and skillful pruning, the conventional modeling method does not explicitly consider the tree shape change with artificial care. We propose a procedural method for modeling the branching structure of well-maintained shrub roses. The branch generation rules are derived to reproduce the characteristics of the ideal tree shape during the blooming season, leveraging both the species-specific growth model and artificial pruning applied appropriately throughout the year. Our system enables intuitive control to change the tree shape by tweaking several parameters. These manually set parameters are designed to represent the differences between rose varieties and mimic manual pruning that reflects the intentions of gardeners. We demonstrate the usability of our method through several experiments.
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Acknowledgements: This work was supported by PlatinumGames Inc.
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