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New TreeSRNF framework models and generates 3D tree shapes

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new mathematical framework called TreeSRNF, designed for the generative modeling of 3D tree-like objects. This approach accurately captures both the geometric shape and the branching structure of objects like plants. By treating these objects as points in a novel Riemannian tree-shape space with a specialized metric, the framework allows for the analysis of deformations as trajectories and enables the computation of correspondences and geodesic paths between different tree shapes. The system can also generate novel tree-shaped objects by sampling from learned probability distributions, outperforming existing state-of-the-art methods on real and synthetic botanical data. AI

IMPACT This framework could advance generative AI capabilities for complex 3D object creation, particularly in fields like botany and computer graphics.

RANK_REASON The cluster contains an academic paper detailing a new generative modeling framework for 3D objects.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New TreeSRNF framework models and generates 3D tree shapes

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The cluster contains an academic paper detailing a new generative modeling framework for 3D objects.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Tahmina Khanam, Hamid Laga, Mohammed Bennamoun, Guanjin Wang, Ferdous Sohel, Farid Boussaid, Anuj Srivastava ·

    TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects

    arXiv:2607.13456v1 Announce Type: new Abstract: We introduce a novel mathematical framework for analyzing and generating complex tree-shaped 3D objects, such as botanical trees and plants, which deform both in their 3D geometry and branching structure. Unlike previous works, whic…

  2. arXiv cs.CV TIER_1 English(EN) · Anuj Srivastava ·

    TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects

    We introduce a novel mathematical framework for analyzing and generating complex tree-shaped 3D objects, such as botanical trees and plants, which deform both in their 3D geometry and branching structure. Unlike previous works, which either consider only the skeletal structure of…

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