New framework removes video watermarks while preserving motion

Researchers have developed PoseRegen, a novel framework designed to remove watermarks from videos while maintaining temporal consistency and motion integrity. This method addresses limitations of existing image-domain techniques, which can introduce flickering or structural inconsistencies when applied to videos. PoseRegen utilizes a shared viewpoint transformation and a pose-conditioned video model, incorporating Flow Matching supervision and a Pose-Conditioned Motion Consistency Adapter to ensure identity, background, and motion structure remain stable across frames. Experiments demonstrate PoseRegen's effectiveness in significantly reducing watermark detectability and outperforming existing methods on motion-related benchmarks, highlighting a practical vulnerability in current video watermarking schemes. AI

IMPACT This research could impact the effectiveness of current video watermarking techniques and influence future development in content protection and digital rights management.

RANK_REASON The cluster contains an academic paper detailing a new technical framework for video watermark removal. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Diffusion Transformer
• Flow Matching for Generative Modeling
• Hugging Face
• Pose-Conditioned Motion Consistency Adapter
• PoseRegen
• VBench

• paper
• other

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