Garment Transfer
The AI process of rendering a clothing item from a product photo onto an image of a person.
What is garment transfer?
Garment transfer (also called virtual dressing or image-based try-on) is the process of taking an image of a clothing item and rendering it onto a photo of a person, adapting it to their pose, body shape, and the lighting of the original photo.
It works from standard 2D product photos (on-model shots, flat lays, or ghost mannequin images) rather than requiring a 3D model per product.

How it works
- Person parsing: image segmentation identifies the body, hair, and the clothes currently worn.
- Pose understanding: pose estimation maps shoulders, waist, and limbs so the garment lands at the right scale and angle.
- Garment encoding: the product photo is analyzed for shape, fabric texture, and construction details.
- Generation: a diffusion model repaints the clothing region via image inpainting, synthesizing drape, wrinkles, and shadows consistent with the scene.
Main challenges
- Drape: fabric folds differently on every body; folds must be synthesized, not copied from the product photo.
- Detail fidelity: logos, prints, and text must survive the transfer without warping.
- Occlusion: crossed arms, hair, or bags must stay in front of the new garment.
- Identity preservation: face, body, and background must remain unchanged; only the clothing region is modified.
Garment transfer vs. 3D try-on
| Garment transfer | 3D / AR try-on | |
|---|---|---|
| Input per product | 2D product photos | 3D asset per SKU |
| Typical products | Apparel | Rigid items (glasses, watches, shoes) |
| Output | Static generated image | Live camera overlay |
FAQ
Questions, answered.
Is garment transfer the same as virtual try-on?↓
Garment transfer is the underlying technique; virtual try-on is the user-facing feature built on it. For apparel, garment transfer is what runs behind a try-on widget.
Related terms
- Virtual Fitting Room
- A digital experience that lets shoppers preview how clothing looks on them before buying online.
- Diffusion Model
- A generative AI architecture that creates images by learning to reverse a gradual noising process.
- Image Inpainting
- Regenerating a masked region of an image while leaving the rest untouched.
- Image Segmentation
- A computer vision technique that divides an image into pixel-precise regions, such as a person, their clothing, and the background.
- Drape
- The way a fabric hangs, folds, and flows when worn on a body.