1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2024
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Feize Wu, Yun Pang, Junyi Zhang +5
Recent advances in text-to-image personalization have enabled high-quality and controllable image synthesis for user-provided concepts. However, existing methods still struggle to…
cs.CV2024★ 1 cited
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
Lianyu Pang, Jian Yin, Baoquan Zhao +4
Recent advances in text-to-image models have enabled high-quality personalized image synthesis of user-provided concepts with flexible textual control. In this work, we analyze the…
cs.CV2023
Cross Initialization for Personalized Text-to-Image Generation
Lianyu Pang, Jian Yin, Haoran Xie +3
Recently, there has been a surge in face personalization techniques, benefiting from the advanced capabilities of pretrained text-to-image diffusion models. Among these, a notable…