FARI: Robust One-Step Inversion for Watermarking in Diffusion Models
Inversion-based watermarking is a promising approach to authenticate diffusion-generated images, yet practical use is bottlenecked by inversion that is both slow and error-prone. While the primary challenge in the watermarking setting is robustness against external distortions, existing approaches over-optimize internal truncation error, and because that error scales with the sampler step size, they are inherently confined to high-NFE (number of function evaluations) regimes that cannot meet the dual demands of speed and robustness. In this work, we have two key observations: (i) the inversion trajectory has markedly lower curvature than the forward generation path does, making it highly ...
| Authors | Jindong Yang, Han Fang, Weiming Zhang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 29 July 2026 |
| Last updated at source | 29 July 2026 |
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