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High-Quality Image Restoration Following Human Instructions. (arXiv:2401.16468v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
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 effectively restore images from various types and levels
of degradation using degradation-specific information as prompts to guide the
restoration model. In this work, we present the first approach that uses
human-written instructions to guide the image restoration model. Given natural
language prompts, our model can recover high-quality images from their degraded
counterparts, considering multiple degradation types. Our method, …
arxiv cs.cv guide human image image restoration images information observation prompts quality restore types work