Definition
Generative garment rendering
Generative garment rendering is the technique of synthesising a new image of a garment on a body, rather than warping the original product photograph. A model trained on paired garment and worn-garment images predicts how fabric falls, where shadows land and how the piece meets the body.
The model is conditioned on three inputs: a representation of the body and its pose, a representation of the garment, and a mask marking the region to be redrawn. It then generates that region. Because pixels are produced rather than transported, the output can contain detail that was never in the source image.
The trade-off is fidelity. The model has to keep the garment’s identity — exact colour, print scale, hardware — while inventing everything about how it sits, and that tension is where the visible failures live: sheer fabric, heavy drape, and text or logos treated as texture.
For a retailer this determines what preparation is needed. Generative rendering works from the product photography already in the catalogue, so the practical requirement is clean, consistent, front-facing imagery rather than new 3D assets.
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