แนวคิดหลัก
Impasto applies human visual perception principles to achieve subtle and effective style protection in diffusion models, incorporating perception-aware protection and a perceptual constraints bank to realize imperceptible but effective style protection.
บทคัดย่อ
The content discusses the problem of style imitation in diffusion models and proposes a method called Impasto to address this issue.
Key highlights:
- Recent progress in diffusion models has enhanced the fidelity of image generation, but this has raised concerns about copyright infringements through style imitation.
- Prior methods have introduced adversarial perturbations to prevent style imitation, but this often leads to degradation of the artwork's visual quality.
- Impasto is designed to achieve imperceptible style protection by applying human visual perception principles.
- Impasto incorporates a perception-aware protection (PAP) strategy that applies perturbations with varying intensities across different regions of the image, based on a perceptual map constructed using multiple just-noticeable difference (JND) models.
- Impasto also employs a perceptual constraints bank, including masked LPIPS, low-pass filtering, and CLIP-based constraints, to further enhance the imperceptibility of the protected images.
- Extensive experiments demonstrate that Impasto significantly improves the trade-off between protection efficacy and image quality, outperforming baseline methods while maintaining comparable protection performance.
- Impasto's versatility is showcased by its successful integration into existing protection frameworks, and it exhibits resilience and generalization against various countermeasures and personalization techniques.
สถิติ
The content does not provide any specific metrics or figures to support the key logics. It focuses on describing the proposed method and evaluating its performance.
คำพูด
The content does not contain any striking quotes that support the key logics.