KAN-T

Reported on 7 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision7 results

Image EnhancementonLOL
Average PSNR
27.18
best: 29.185 (CFWD)
Image EnhancementonLOL
Params (M)
2.8
Image EnhancementonLOL
SSIM
0.864
best: 0.93 (PyDiff)
Image EnhancementonLOLv2
Average PSNR
28.87
best: 29.855 (CFWD)
Image EnhancementonLOLv2
SSIM
0.89
best: 0.927 (LLFlow)
Image EnhancementonLOLv2-synthetic
Average PSNR
29.77
best: 29.95 (DPEC_)
Image EnhancementonLOLv2-synthetic
SSIM
0.949
best: 0.958 (GLARE)