4 citations · 4 across the 2 of their papers we have counts for
5 papers
Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization
Yu Xu, Fan Tang, Juan Cao +5
Personalized generation paradigms empower designers to customize visual intellectual properties with the help of textual descriptions by tuning or adapting pre-trained text-to-imag…
U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
You Wu, Kean Liu, Xiaoyue Mi +3
Concept personalization methods enable large text-to-image models to learn specific subjects (e.g., objects/poses/3D models) and synthesize renditions in new contexts. Given that t…
Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework
Ziyao Huang, Fan Tang, Yong Zhang +4
Despite the remarkable process of talking-head-based avatar-creating solutions, directly generating anchor-style videos with full-body motions remains challenging. In this study, w…
Web Video Categorization based on Wikipedia Categories and Content-Duplicated Open Resources
Zhineng Chen, Juan Cao, Yicheng Song +2
This paper presents a novel approach for web video categorization by leveraging Wikipedia categories (WikiCs) and open resources describing the same content as the video, i.e., con…
Context-Oriented Web Video Tag Recommendation
Zhineng Chen, Juan Cao, Yicheng Song +3
Tag recommendation is a common way to enrich the textual annotation of multimedia contents. However, state-of-the-art recommendation methods are built upon the pair-wised tag relev…