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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…

Cited by 0SourcecodeScholar
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…