17 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.CV2024
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models
Siying Cui, Jia Guo, Xiang An +4
Leveraging Stable Diffusion for the generation of personalized portraits has emerged as a powerful and noteworthy tool, enabling users to create high-fidelity, custom character ava…
cs.CV2023★ 1 cited
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
Kaicheng Yang, Jiankang Deng, Xiang An +5
Contrastive Language-Image Pre-training (CLIP) has significantly boosted the performance of various vision-language tasks by scaling up the dataset with image-text pairs collected…
cs.CV2023★ 17 cited
Unicom: Universal and Compact Representation Learning for Image Retrieval
Xiang An, Jiankang Deng, Kaicheng Yang +5
Modern image retrieval methods typically rely on fine-tuning pre-trained encoders to extract image-level descriptors. However, the most widely used models are pre-trained on ImageN…