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January 1, 2026International Journal of Information and Communication TechnologyOpen Access

3D visual generation system based on the fusion of multi-view geometry reconstruction and deep learning

Guofeng Hu Yan Lin

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Key Points

The research aims to develop a 3D visual generation system that enhances rendering accuracy through advanced techniques.
Utilized multi-view geometry for accurate reconstruction of 3D scenes.
Applied deep learning algorithms to improve visual fidelity and efficiency in graphics generation.
Conducted performance evaluation through comparative analysis of generated 3D visuals.
Achieved a 30% increase in rendering accuracy compared to traditional methods.
Demonstrated enhanced processing speed with a reduction in computational time by 25%.
Outperformed existing systems in visual quality assessments by subjective user tests.

Implication

Investigates 3D visual generation techniques, suggesting improved accuracy in rendering.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/6a3a225d111626ef22ab6f39 https://doi.org/10.1504/ijict.2026.10079250

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