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Updated: Jun 24, 2026

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
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AvatarVTON: 4D Virtual Try-On for Animatable Avatars.

Zicheng Jiang, Jixin Gao, Shengfeng He

    IEEE Transactions on Visualization and Computer Graphics
    |June 22, 2026
    PubMed
    Summary
    This summary is machine-generated.

    AvatarVTON is the first 4D virtual try-on framework using a single image for realistic results. It enables free pose control and dynamic garment interactions without complex data, advancing digital fashion and human applications.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Virtual Reality

    Background:

    • Virtual try-on technology aims to simulate garment fitting on digital avatars.
    • Existing methods often require multi-view garment data or physics simulations, limiting practicality.
    • Single-view solutions struggle with dynamic garment behavior and pose adaptability.

    Purpose of the Study:

    • To introduce AvatarVTON, a novel 4D virtual try-on framework.
    • To enable realistic garment try-on from a single image with free pose control.
    • To support dynamic garment interactions without multi-view data or physics priors.

    Main Methods:

    • Developed a Reciprocal Flow Rectifier for stable avatar fitting and temporal coherence using optical flow.
    • Introduced a Non-Linear Deformer that decomposes Gaussian maps for adaptive garment deformation.
    • Established a benchmark by extending existing methods for fair comparison.

    Main Results:

    • AvatarVTON achieves high fidelity and diversity in virtual try-on results.
    • Demonstrates realistic dynamic garment interactions from single-view supervision.
    • Outperforms existing methods in qualitative and quantitative evaluations.

    Conclusions:

    • AvatarVTON represents a significant advancement in 4D virtual try-on.
    • The framework is suitable for applications in AR/VR, gaming, and digital humans.
    • Paves the way for more accessible and realistic virtual fashion experiences.