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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Related Experiment Video

Updated: Aug 3, 2025

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
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Modeling Realistic Clothing From a Single Image Under Normal Guide.

Xinqi Liu, Jituo Li, Guodong Lu

    IEEE Transactions on Visualization and Computer Graphics
    |April 7, 2023
    PubMed
    Summary

    This study introduces a fast, robust method for creating realistic 3D clothing models from single images. The technique combines neural networks and optimization for accurate style and wrinkle generation, improving 3D fashion design.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • 3D Modeling

    Background:

    • Generating realistic 3D clothing models from images is challenging.
    • Existing methods often lack robustness and detail.

    Purpose of the Study:

    • To develop a robust and realistic 3D clothing modeling method.
    • To achieve visually consistent clothing style and wrinkles from a single RGB image.

    Main Methods:

    • Utilizes neural networks to predict normal maps, clothing masks, and clothing models.
    • Employs normal-guided clothing fitting optimization for realistic wrinkle details.
    • Incorporates a clothing collar adjustment strategy for stylization.

    Main Results:

    • Achieves state-of-the-art clothing geometric accuracy and visual realism.
    • Demonstrates robustness and adaptability to in-the-wild images.
    • The process takes only a few seconds.

    Conclusions:

    • The proposed method offers a low-cost, user-friendly solution for realistic 3D clothing modeling.
    • Easily extendable to multi-view inputs for enhanced realism.
    • Combines learning and optimization for high-quality results.