tryoffdiff and try-off-anyone
These are competitors: both reconstruct and generate garment imagery from dressed persons, but TryOffDiff uses diffusion-based high-fidelity reconstruction while TryOffAnyone uses tiled cloth generation, offering different technical approaches to the same virtual try-off task.
About tryoffdiff
rizavelioglu/tryoffdiff
[CVPR'25-Demo] Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
This tool helps fashion designers and e-commerce retailers create virtual try-on experiences. You input an image of a person and an image of a garment, and it generates a realistic image of the person wearing that clothing, even in multi-garment scenarios. This is ideal for showcasing apparel without physical models or photoshoots.
About try-off-anyone
ixarchakos/try-off-anyone
Official repository of "TryOffAnyone: Tiled Cloth Generation from a Dressed Person"
This project helps fashion designers, e-commerce retailers, and clothing manufacturers by generating a flat, tiled image of a clothing item from a photograph of someone wearing it. You input an image of a person dressed in an upper garment, and it outputs a clean, ready-for-manufacture image of just the garment. This is for professionals who need to quickly create product images or technical flats from existing garments.
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