DIV2K Inpainting (30% random)

• Dataset: DIV2K

• Physics: Inpainting

• Noise model: ZeroNoise

• mask: 0.3

• 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, "div2k_inpainting_(30%_random)")

Warning

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

solver_name	PSNR	LPIPS
DDRM[denoiser=DRUNet,zeta=0.95]	27.42 ± 2.49	0.10 ± 0.04
RAM	27.20 ± 2.32	0.13 ± 0.05
DDRM[denoiser=DiffUNet,zeta=0.95]	27.06 ± 2.70	0.09 ± 0.03
DiffPIR[denoiser=DiffUNet,zeta=0.95]	25.28 ± 2.14	0.24 ± 0.10
DiffPIR[denoiser=DRUNet,zeta=0.95]	25.22 ± 2.22	0.25 ± 0.10
DPS[denoiser=DRUNet,max_iter=1000]	23.65 ± 2.72	0.41 ± 0.16
DPS[denoiser=DiffUNet,max_iter=1000]	23.44 ± 2.64	0.36 ± 0.15
DPIR[sigma=0.1]	10.20 ± 4.50	0.94 ± 0.23
DPIR[sigma=0.05]	9.51 ± 4.25	1.01 ± 0.22