Core Concepts
VmambaIR introduces State Space Models with linear complexity for comprehensive image restoration tasks, outperforming existing methods with superior performance and efficiency.
Stats
"Extensive experimental results demonstrate that our proposed VmambaIR achieves state-of-the-art (SOTA) performance."
"Particularly, in the real-world super-resolution task, VmambaIR achieves higher reconstruction accuracy with only 26% of the computational cost compared to the existing SOTA method."
"Our proposed VmambaIR surpasses the accuracy of the current baseline on all image restoration tasks while requiring less computational resources."