Your Pre-trained Diffusion Model Secretly Knows Restoration

📰 ArXiv cs.AI

Pre-trained diffusion models can be used for restoration tasks without fine-tuning or additional modules

advanced Published 7 Apr 2026
Action Steps
  1. Recognize that pre-trained diffusion models have inherent restoration capabilities
  2. Unlock the restoration behavior in these models without requiring fine-tuning or Control-Net style modules
  3. Apply the pre-trained diffusion models to All-in-One Restoration (AiOR) tasks for improved perceptual quality and generalization
  4. Evaluate the performance of the pre-trained diffusion models on various restoration tasks to understand their limitations and potential applications
Who Needs to Know This

AI researchers and engineers working on image and signal restoration tasks can benefit from this discovery, as it simplifies the restoration process and improves efficiency

Key Insight

💡 Pre-trained diffusion models have secret restoration capabilities that can be unlocked for improved performance

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💡 Pre-trained diffusion models can do restoration without fine-tuning!
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