2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Generative Active Learning for Image Synthesis Personalization
Xulu Zhang, Wengyu Zhang, Xiao-Yong Wei +4
This paper presents a pilot study that explores the application of active learning, traditionally studied in the context of discriminative models, to generative models. We specific…
cs.CV2024
Compositional Inversion for Stable Diffusion Models
Xulu Zhang, Xiao-Yong Wei, Jinlin Wu +4
Inversion methods, such as Textual Inversion, generate personalized images by incorporating concepts of interest provided by user images. However, existing methods often suffer fro…
cs.CV2023★ 2 cited
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…