Restore images with many defect types using instructions by train on cleaned images with InstructIR
- morrislee
- Feb 22, 2024
- 1 min read
Restore images with many defect types using instructions by train on cleaned images with InstructIR
InstructIR: High-Quality Image Restoration Following Human Instructions
arXiv paper abstract https://arxiv.org/abs/2401.16468
arXiv PDF paper https://arxiv.org/pdf/2401.16468.pdf

Image restoration is a fundamental problem that involves recovering a high-quality clean image from its degraded observation.
All-In-One image restoration models can ... restore images from various types and levels of degradation using degradation-specific information as prompts to guide the restoration model.
... present the first approach that uses human-written instructions to guide the image restoration model.
Given natural language prompts, ... model can recover high-quality images from their degraded counterparts, considering multiple degradation types.
... InstructIR, achieves state-of-the-art results on several restoration tasks including image denoising, deraining, deblurring, dehazing, and (low-light) image enhancement.
InstructIR improves +1dB over previous all-in-one restoration methods ...
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