2 citations · 5 across the 4 of their papers we have counts for
5 papers
UnZipLoRA: Separating Content and Style from a Single Image
Chang Liu, Viraj Shah, Aiyu Cui +1
This paper introduces UnZipLoRA, a method for decomposing an image into its constituent subject and style, represented as two distinct LoRAs (Low-Rank Adaptations). Unlike existing…
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images
Aiyu Cui, Jay Mahajan, Viraj Shah +3
Most virtual try-on research is motivated to serve the fashion business by generating images to demonstrate garments on studio models at a lower cost. However, virtual try-on shoul…
One-Shot Stylization for Full-Body Human Images
Aiyu Cui, Svetlana Lazebnik
The goal of human stylization is to transfer full-body human photos to a style specified by a single art character reference image. Although previous work has succeeded in example-…
Learning Garment DensePose for Robust Warping in Virtual Try-On
Aiyu Cui, Sen He, Tao Xiang +1
Virtual try-on, i.e making people virtually try new garments, is an active research area in computer vision with great commercial applications. Current virtual try-on methods usual…
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
Aiyu Cui, Daniel McKee, Svetlana Lazebnik
We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks. The key to Di…