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Related Experiment Video

Updated: May 21, 2026

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
07:46

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

Published on: August 9, 2024

GarmentRec: Towards Individual Garment Reconstruction From a Monocular Human Image.

Zongyi Xu, Zhen Gao, Shiyang Cheng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |May 19, 2026
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a novel explicit garment template for reconstructing detailed 3D garment models from single images. The method accurately captures wrinkles and pockets, overcoming limitations of previous approaches for virtual try-on applications.

    Area of Science:

    • Computer Vision
    • 3D Graphics
    • Geometric Modeling

    Background:

    • Implicit methods struggle with garment mesh reconstruction from single images, often yielding incomplete or distorted results.
    • Explicit parametric models offer robust shape constraints but lack detail and variation.
    • Existing methods fail to capture intricate garment features like wrinkles and pockets effectively.

    Purpose of the Study:

    • To develop a novel explicit garment template capable of reconstructing detailed 3D garment models from monocular images.
    • To address the limitations of existing methods in handling both closed and open garment topologies and capturing fine geometric details.
    • To enable accurate and robust garment reconstruction for applications like human digitization and virtual try-on.

    Main Methods:

    Related Experiment Videos

    Last Updated: May 21, 2026

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
    07:46

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

    Published on: August 9, 2024

    • Introduction of a new explicit garment template supporting both closed and open topologies.
    • Proposal of a detailed garment reconstruction method utilizing the new template from monocular views.
    • Prediction of displacement maps on the parameterization domain and elaboration to 3D surfaces via UV coordinates for detail recovery.

    Main Results:

    • The proposed method successfully reconstructs individual garment meshes from monocular images.
    • Realistic details such as wrinkles and pockets are faithfully recovered in an explicit manner.
    • Demonstrated accuracy and robustness across extensive experiments for garment shape recovery.

    Conclusions:

    • The novel explicit garment template and reconstruction method provide a significant advancement in 3D garment modeling.
    • The approach effectively overcomes previous limitations, enabling detailed and accurate reconstruction of various garment types.
    • The method shows promise for practical applications in human digitization and virtual try-on scenarios.