33 citations · 61 across the 9 of their papers we have counts for
18 papers · 1 filter
ID-Cloak: Crafting Identity-Specific Cloaks Against Personalized Text-to-Image Generation
Qianrui Teng, Xing Cui, Xuannan Liu +4
Personalized text-to-image models allow users to generate images of new concepts from several reference photos, thereby leading to critical concerns regarding civil privacy. Althou…
Towards Compatible Fine-tuning for Vision-Language Model Updates
Zhengbo Wang, Jian Liang, Lijun Sheng +3
So far, efficient fine-tuning has become a popular strategy for enhancing the capabilities of foundation models on downstream tasks by learning plug-and-play modules. However, exis…
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey
Xuannan Liu, Xing Cui, Peipei Li +6
The rapid evolution of multimodal foundation models has led to significant advancements in cross-modal understanding and generation across diverse modalities, including text, image…
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
Yuang Ai, Huaibo Huang, Ran He
Prompt-based all-in-one image restoration (IR) frameworks have achieved remarkable performance by incorporating degradation-specific information into prompt modules. Nevertheless,…
ZePo: Zero-Shot Portrait Stylization with Faster Sampling
Jin Liu, Huaibo Huang, Jie Cao +1
Diffusion-based text-to-image generation models have significantly advanced the field of art content synthesis. However, current portrait stylization methods generally require eith…
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration
Nan Gao, Jia Li, Huaibo Huang +4
Blind face restoration (BFR) is a highly challenging problem due to the uncertainty of degradation patterns. Current methods have low generalization across photorealistic and heter…