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cs.CV2024
Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction
Xiao Guo, Manh Tran, Jiaxin Cheng +1
The text-to-image (T2I) personalization diffusion model can generate images of the novel concept based on the user input text caption. However, existing T2I personalized methods ei…
cs.CV2024★ 1 cited
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
Xiufeng Song, Xiao Guo, Jiache Zhang +5
Large numbers of synthesized videos from diffusion models pose threats to information security and authenticity, leading to an increasing demand for generated content detection. Ho…
cs.MM2024
Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending
Yongyang Pan, Xiaohong Liu, Siqi Luo +5
Rapid advancements in multimodal large language models have enabled the creation of hyper-realistic images from textual descriptions. However, these advancements also raise signifi…