Generative Integration of CG Decomposition and Dual Structures for Stable Geometric Flows

This paper presents a generative framework integrating CG decomposition and dual structures to stabilize geometric flows, enabling robust path bundles that reduce intersections, lower cost, and suppress shadow variance through continuous generative–dual dynamics under noisy or complex environments. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22831213
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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Generative Integration of CG Decomposition and Dual Structures for Stable Geometric Flows

Shin Tamaki
Zenodo (CERN European Organization for Nuclear Research)
Computer Graphics and Visualization Techniques
article

Generative Integration of CG Decomposition and Dual Structures for Stable Geometric Flows

Shin Tamaki
article en

Abstract

This paper presents a generative framework integrating CG decomposition and dual structures to stabilize geometric flows, enabling robust path bundles that reduce intersections, lower cost, and suppress shadow variance through continuous generative–dual dynamics under noisy or complex environments. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 5%
Computer Graphics and Visualization Techniques
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Generative Integration of CG Decomposition and Dual Structures for Stable Geometric Flows — Shin Tamaki · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS