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Rethinking Camouflage Image Generation towards a Training-Free Paradigm

Yang, Haodong et al.
arXiv (OAI Expanded) · Papers
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Camouflage image generation (CIG) aims to synthesize realistic camouflaged images by blending foreground objects into concealment-compatible background contexts. Achieving this objective requires jointly satisfying three coupled requirements: foreground preservation to retain target integrity, seman
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