Drape
The way a fabric hangs, folds, and flows when worn on a body.
What is drape?
Drape refers to the way a fabric hangs, folds, and flows when worn on the body. A stiff denim falls in straight lines and holds its shape; a silk charmeuse clings and cascades into many small folds. The same dress pattern produces visibly different silhouettes depending on the fabric's drape.
Drape is determined by the fabric's weight, stiffness, weave, and fiber content, combined with the garment's cut and the body shape underneath it.

Why drape matters in virtual try-on
Drape is one of the hardest things to reproduce digitally, and one of the most important for realism:
- It cannot be copied. The folds visible in a product photo correspond to that mannequin or model. On a different body and pose, the fabric would fold differently, so garment transfer systems must synthesize new, physically plausible folds.
- It signals fabric type. Viewers infer material (heavy, light, stretchy, crisp) from how the garment falls. Wrong drape makes a render look like the wrong product.
- It interacts with body shape. Where fabric clings versus hangs depends on the body underneath, which is exactly what a shopper is trying to judge.
Two technical approaches exist: physics simulation (cloth solvers applied to a 3D body model, used in 3D garment design tools) and learned synthesis (a diffusion model trained on photos of worn clothing, used in image-based try-on).
FAQ
Questions, answered.
Is drape the same as fit?↓
No. Fit describes how a garment's dimensions relate to the body (tight, loose, true to size). Drape describes how the fabric behaves once worn; two garments with identical fit can drape very differently.
Related terms
- Garment Transfer
- The AI process of rendering a clothing item from a product photo onto an image of a person.
- 3D Body Model
- An adjustable digital mesh of the human body, generated from measurements or photos, used to simulate fit and sizing.
- Diffusion Model
- A generative AI architecture that creates images by learning to reverse a gradual noising process.