1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
Wearing the Same Outfit in Different Ways -- A Controllable Virtual Try-on Method
Kedan Li, Jeffrey Zhang, Shao-Yu Chang +1
An outfit visualization method generates an image of a person wearing real garments from images of those garments. Current methods can produce images that look realistic and preser…
Third-Order Newton Methods with Semidefinite Programming
Olha Silina, Jeffrey Zhang
We study a third-order Newton method in which each iteration is obtained by minimizing the third-order Taylor expansion of the objective via a semidefinite programming (SDP) subpro…
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…