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ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
Jeffrey Zhang, Kedan Li, Shao-Yu Chang +1
Virtual Try-on (VTON) involves generating images of a person wearing selected garments. Diffusion-based methods, in particular, can create high-quality images, but they struggle to…
Preserving Image Properties Through Initializations in Diffusion Models
Jeffrey Zhang, Shao-Yu Chang, Kedan Li +1
Retail photography imposes specific requirements on images. For instance, images may need uniform background colors, consistent model poses, centered products, and consistent light…
Toward Accurate and Realistic Outfits Visualization with Attention to Details
Kedan Li, Min jin Chong, Jeffrey Zhang +1
Virtual try-on methods aim to generate images of fashion models wearing arbitrary combinations of garments. This is a challenging task because the generated image must appear reali…
Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps
Kedan Li, Min Jin Chong, Jingen Liu +1
A virtual try-on method takes a product image and an image of a model and produces an image of the model wearing the product. Most methods essentially compute warps from the produc…
Coherent and Controllable Outfit Generation
Kedan Li, Chen Liu, David Forsyth
When thinking about dressing oneself, people often have a theme in mind whether they're going to a tropical getaway or wish to appear attractive at a cocktail party. A useful outfi…