Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models
Mohammad Shahab Sepehri Zalan Fabian Mahdi Soltanolkotabi
| Paper | Github Repository |
Serpent is a novel architecture for efficient image restoration that leverages state space models capable of modeling intricate long-range dependencies in high-resolution images with a favorable linear scaling in input dimension.
You can download our pretrained models from this repository
Usage
You can find our code and instructions for using our pre-trained models on our Github repository.
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