Restore image using generative prior, model scaling up, and prompts with SUPIR
Restore image using generative prior, model scaling up, and prompts with SUPIR
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
arXiv paper abstract https://arxiv.org/abs/2401.13627
arXiv PDF paper https://arxiv.org/pdf/2401.13627.pdf
Project page https://supir.xpixel.group
... introduce SUPIR (Scaling-UP Image Restoration), a groundbreaking image restoration method that harnesses generative prior and the power of model scaling up.
Leveraging multi-modal techniques and advanced generative prior, SUPIR marks a significant advance in intelligent and realistic image restoration.
As a pivotal catalyst within SUPIR, model scaling dramatically enhances its capabilities and demonstrates new potential for image restoration.
... SUPIR provides the capability to restore images guided by textual prompts, broadening its application scope and potential.
... introduce negative-quality prompts to further improve perceptual quality ... develop a restoration-guided sampling method to suppress the fidelity issue encountered in generative-based restoration.
... demonstrate SUPIR's exceptional restoration effects and its novel capacity to manipulate restoration through textual prompts.
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