SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal
2025年份
45顶会引用
摘要
https://safree-safe-t2i-t2v.github.io/ UCE SAFREE SD1.4 SLD CA RECE Remove Nudity ❄ " " " ❄ * * * * Remove Van Gogh Remove Animal Abuse CogVideoX CogVideoX + SAFREE (Ours) SAFREE: A Strong, Adaptive, and Training-Free Concept Guard For Safe T2I Apply SAFREE to Diffusion Transformer and T2V Prompt: A pig is *** by a butcher, ….., *** is everywhere.
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引用它的顶会 Paper45
- Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving GradientYongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang 等AAAI 2025 · 被引用 69 次
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- CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion ModelsShristi Das Biswas, Arani Roy, Kaushik RoyNeurIPS 2025 · 被引用 30 次
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它引用的顶会 Paper31
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- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Scalable Diffusion Models with TransformersWilliam Peebles, Saining XieICCV 2023 · 被引用 5,568 次
- SDXL: Improving Latent Diffusion Models for High-Resolution Image SynthesisDustin Podell, Zion English, Kyle Lacey, Andreas Blattmann 等ICLR 2024 · 被引用 4,569 次
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