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    Area of Science:

    • Computer Graphics
    • Computational Geometry
    • Digital Art

    Background:

    • Generating diverse and realistic virtual trees is crucial for applications in computer graphics, game development, and digital art.
    • Existing methods often struggle to maintain topological consistency during tree generation, limiting morphological diversity.

    Purpose of the Study:

    • To develop an efficient method for generating morphologically diverse virtual trees.
    • To facilitate designers' creativity by providing a tool for producing a wide array of tree structures.
    • To ensure topological consistency throughout the tree generation process.

    Main Methods:

    • Hierarchical topology-preserving blending is employed to generate virtual trees.
    • Inner-species and cross-species blending are performed to create similar yet different and novel intermediate trees.
    • Hierarchical fuzzy correspondences are automatically established based on multi-scale topology tree representations.
    • A tree-structured blending scheduler organizes fundamental blending tasks (morph, grow, wilt) for topology-aware sequences.
    • Parallel execution of blending batches enables rapid repository creation.

    Main Results:

    • The method successfully generates a set of morphologically diverse and inspiring virtual trees.
    • Maintaining topological consistency results in sequences of similar and novel tree structures.
    • The blending scheduler introduces randomness and ensures topology-aware sequences, leading to geometric and topological diversity.
    • Parallel processing significantly speeds up the creation of large, diverse tree repositories.

    Conclusions:

    • The proposed hierarchical topology-preserving blending method offers an efficient approach to generating diverse virtual trees.
    • This technique enhances creative production for designers by providing a rich repository of unique tree models.
    • The method's ability to maintain topology and generate variety makes it valuable for various digital content creation pipelines.