most citedA Survey on Personalized Content Synthesis with Diffusion Models

8 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

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…

cs.CV2024

FIRM: Flexible Interactive Reflection reMoval

Xiao Chen, Xudong Jiang, Yunkang Tao +4

Removing reflection from a single image is challenging due to the absence of general reflection priors. Although existing methods incorporate extensive user guidance for satisfacto…

cs.CV2024★ 8 cited

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…

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.CV2024

SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition

Xu Hu, Yuxi Wang, Lue Fan +6

3D Gaussian Splatting has emerged as an alternative 3D representation for novel view synthesis, benefiting from its high-quality rendering results and real-time rendering speed. Ho…