2025
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Feize Wu*, Yun Pang*, Junyi Zhang*, Lianyu Pang*, Jian Yin, Baoquan Zhao, Qing Li, Xudong Mao# (* equal contribution, # corresponding author)
The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025) 2025 Poster
Context Regularization (CoRe) is introduced, which enhances the learning of the new concept's text embedding by regularizing its context tokens in the prompt, thus improving the generalization of the learned text embedding.
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Feize Wu*, Yun Pang*, Junyi Zhang*, Lianyu Pang*, Jian Yin, Baoquan Zhao, Qing Li, Xudong Mao# (* equal contribution, # corresponding author)
The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025) 2025 Poster
Context Regularization (CoRe) is introduced, which enhances the learning of the new concept's text embedding by regularizing its context tokens in the prompt, thus improving the generalization of the learned text embedding.