I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models
Dongnan Gui, Xun Guo, Wengang Zhou, Yan Lu
2025年份
3顶会引用
摘要
Original Image Generated video from original image. Guarded Image Generated video from guarded image. Original Image Generated video from original image. Guarded Image Generated video from guarded image. Figure 1 . Results of our I2VGuard. We present original images, guarded images, and their corresponding SVD-generated videos. All results are generated with the same seed. Our method effectively safeguards images from animation in image-to-video generation.
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引用它的顶会 Paper3
- Anti-I2V: Safeguarding your Photos from Malicious Image-to-video GenerationDuc Vu, Anh Nguyen, Chi Tran, Anh TranCVPR 2026 · 被引用 7 次
- VSG-Safe: Spotting NSFW Video through Cross-Frame EvidenceYuyang Zhang, Xudong Jiang, Yuxuan Song, Yuxiang Sun 等USENIX Security 2026
- MEDUSA: Motion Elimination in Diffusion Using Spectral AttackHongwei Yu, Daoqing Zha, Xinlong Ding, Jiawei Li 等ICML 2026
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- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 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
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
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