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Diffusion models enable controllable blind image deblurring

By PulseAugur Editorial · [2 sources] ·

Researchers have developed SuperSharpen, a novel diffusion-based method for controllable blind deblurring. This technique aims to restore images degraded by unknown blur without needing to know the specific degradation kernel. The method offers explicit control over the restoration strength, allowing users to adjust the deblurring intensity. Experiments indicate that full finetuning of the diffusion model yields better fidelity and fewer fabricated details compared to using a ControlNet-style adapter. AI

IMPACT Introduces a new technique for image restoration, potentially improving visual quality in applications relying on camera input.

RANK_REASON The cluster describes a new research paper detailing a novel method for image deblurring using diffusion models.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Diffusion models enable controllable blind image deblurring

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The cluster describes a new research paper detailing a novel method for image deblurring using diffusion models.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Controllable blind deblurring with diffusion models

    Image acquisition with a camera involves several degradations due to the optical system, sensor, or low-level processing steps. We address blind deblurring in professional photography: we aim to invert unknown isotropic blur without knowledge of the degradation kernel.For such in…

  2. arXiv cs.CV TIER_1 English(EN) · Imane Si Salah, Emile Cribelier, Thomas Veit, Wolf Hauser, Arthur Leclaire ·

    Controllable blind deblurring with diffusion models

    arXiv:2608.23343v1 Announce Type: new Abstract: Image acquisition with a camera involves several degradations due to the optical system, sensor, or low-level processing steps. We address blind deblurring in professional photography: we aim to invert unknown isotropic blur without…

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