2 papers
cs.CV2025
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation
Zixin Zhu, Kevin Duarte, Mamshad Nayeem Rizve +3
In text-to-image (T2I) generation, achieving fine-grained control over attributes - such as age or smile - remains challenging, even with detailed text prompts. Slider-based method…
cs.CV2024
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
Xingzhe He, Zhiwen Cao, Nicholas Kolkin +4
Large text-to-image models have revolutionized the ability to generate imagery using natural language. However, particularly unique or personal visual concepts, such as pets and fu…