SourceSEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
Among GAN-based Real-SR methods evaluated under SEAL, MMRealSR achieves the lowest interquartile range of RPR (RPR_i: 0.08), indicating the most uniform relative improvement across all 100 degradation cases. SwinIR, by contrast, has a higher RPR_i (0.24) but achieves a higher average RPR on acceptable cases (RPR_a: 0.71 vs 0.57 for MMRealSR), meaning it performs better on the cases it can handle. Both achieve high acceptance rates (MMRealSR AR: 0.80, SwinIR AR: 0.81), but they differ in the shape of their performance distribution.