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AvatarVTON: 4D Virtual Try-On for Animatable Avatars
IEEE Transactions on Visualization and Computer Graphics
|June 22, 2026
Summary
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.
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.
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