CBSD68 denoising

• Dataset: CBSD68

• Physics: Denoising

• Noise model: GaussianNoise

• sigma: 0.1

• img_size: 256

Run this benchmark with

from deepinv_bench import run_benchmark
my_solver = lambda y, physics: ...  # your solver here
results = run_benchmark(my_solver, "cbsd68_denoising")

Warning

Runtimes are only indicative and may vary depending on various factors which are not controlled in the benchmark.

solver_name	PSNR	LPIPS
Restormer	32.26 ± 2.31	0.09 ± 0.04
SwinIR	32.22 ± 2.29	0.09 ± 0.04
DRUNet	32.17 ± 2.30	0.10 ± 0.04
GSDRUNet	32.06 ± 2.25	0.09 ± 0.03
DiffUNet	32.02 ± 2.27	0.10 ± 0.05
RAM	31.97 ± 2.24	0.10 ± 0.04
NCSNpp	31.91 ± 2.20	0.11 ± 0.05
DScCP	30.93 ± 1.96	0.12 ± 0.05
SCUNet	30.87 ± 2.19	0.14 ± 0.07
DnCNN	30.40 ± 1.62	0.14 ± 0.05
TGVDenoiser	28.06 ± 2.05	0.24 ± 0.06
TVDenoiser	27.63 ± 2.52	0.26 ± 0.08
BilateralFilter	26.68 ± 1.47	0.44 ± 0.08
WaveletDenoiser	25.19 ± 0.89	0.32 ± 0.10