ARTFEED — Contemporary Art Intelligence

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models

ai-technology · 2026-07-30

Researchers propose FARI, a robust one-step inversion method for watermarking in diffusion models. The approach addresses the bottleneck of slow and error-prone inversion by leveraging two key observations: inversion trajectories have lower curvature than forward generation, making them compressible for low-NFE approximation, and external distortions dominate error in watermark verification, reducing the trade-off between speed and truncation error. This enables faster inversion without sacrificing robustness.

Key facts

  • FARI is a one-step inversion method for watermarking in diffusion models.
  • Inversion trajectories have lower curvature than forward generation paths.
  • External distortions dominate error in watermark verification.
  • Existing methods over-optimize internal truncation error.
  • The approach aims to meet dual demands of speed and robustness.
  • Paper published on arXiv with ID 2607.26723.

Entities

Institutions

  • arXiv

Sources