Client Work · AI & Data Analytics

OmniFit-3D: Virtual try-on that understands the body

Online fashion's biggest unanswered question is “will it fit me?”. OmniFit-3D, built by our AI team for a clothing brand, turns flat 2D clothing images into realistic, pose-adaptive 3D fittings.

Client: Confidential Clothing Brand
Field: Computer Vision & Graphics
Services: AI & Data Analytics
Status: Deployed

OmniFit-3D result: a long-sleeve top and a tank top fitted onto a model in different poses

OmniFit-3D result: the same garments fitted onto a second model, adapting to her pose

See the research overview

The challenge

Most virtual try-on is a 2D overlay: paste the garment onto a photo and hope. It breaks the moment a person moves or turns. Doing it properly means reconstructing both garment and body in 3D from ordinary images, then draping one over the other in any pose.

Our approach

We built a pipeline that lifts 2D garment images into 3D, fits them to a parametric body model, and adapts the fit as the pose changes. Reconstruction, cloth behavior, and rendering, packaged as an interactive demo rather than a paper-only result.

What this delivered

2D-to-3D garment reconstruction pipeline
Parametric body model fitting
Pose-adaptive garment draping
Realistic 3D rendering
Interactive web demo
Reusable production codebase

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