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Jingbo Lin

2 accepted papers

2026

UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity

ICLR 2026poster

Recently, considerable progress has been made in all-in-one image restoration. Generally, existing methods can be degradation-agnostic or degradation-aware. However, the former are limited in leveraging degradation estimation-based priors, and the latter suffer from the inevitable error in degradati…

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2024

Improving Image Restoration through Removing Degradations in Textual Representations

CVPR 2024poster

In this paper we introduce a new perspective for improving image restoration by removing degradation in the textual representations of a given degraded image. Intuitively restoration is much easier on text modality than image one. For example it can be easily conducted by removing degradation-relate…