8 citations · 8 across the 5 of their papers we have counts for
5 papers
Generating on Generated: An Approach Towards Self-Evolving Diffusion Models
Xulu Zhang, Xiaoyong Wei, Jinlin Wu +4
Recursive Self-Improvement (RSI) enables intelligence systems to autonomously refine their capabilities. This paper explores the application of RSI in text-to-image diffusion model…
Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation
Bingyu Yang, Qingyao Tian, Huai Liao +4
Continuous and accurate segmentation of airways in chest CT images is essential for preoperative planning and real-time bronchoscopy navigation. Despite advances in deep learning f…
A Survey on Personalized Content Synthesis with Diffusion Models
Xulu Zhang, Xiaoyong Wei, Wentao Hu +6
Recent advancements in diffusion models have significantly impacted content creation, leading to the emergence of Personalized Content Synthesis (PCS). By utilizing a small set of…
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…
BronchoTrack: Airway Lumen Tracking for Branch-Level Bronchoscopic Localization
Qingyao Tian, Huai Liao, Xinyan Huang +5
Localizing the bronchoscope in real time is essential for ensuring intervention quality. However, most existing methods struggle to balance between speed and generalization. To add…