List your company

Image Denoising on BSD68 grayscale (test)

37.95PSNRGroupSC
24.37827.901531.42534.9485Apr 16, 2019Jun 2, 2019Jul 20, 2019Sep 6, 2019Oct 24, 2019Dec 11, 2019Jan 28, 2020

Evaluation results

MethodLinks
GroupSCTrainable Params=68k, Noise Level (σ)=5, Training Set=BSD4002019.1237.95———
NLRNTrainable Params=330k, Noise Level (σ)=5, Training Set=BSD4002019.1237.92———
CSCnetTrainable Params=62k, Noise Level (σ)=5, Training Set=Waterloo+BSD4002019.1237.84———
SCTrainable Params=68k, Noise Level (σ)=5, Training Set=BSD4002019.1237.84———
BM3D PCATrainable Params=0, Noise Level (σ)=5, Training Set=BSD4002019.1237.77———
LSSCTrainable Params=0, Noise Level (σ)=5, Training Set=BSD4002019.1237.7———
CSCnetTrainable Params=62k, Noise Level (σ)=5, Training Set=BSD4002019.1237.69———
DnCNNTrainable Params=556k, Noise Level (σ)=5, Training Set=BSD4002019.1237.68———
BM3DTrainable Params=0, Noise Level (σ)=5, Training Set=BSD4002019.1237.57———
NLRNTrainable Params=330k, Noise Level (σ)=15, Training Set=BSD4002019.1231.88———
RIDNetNoise Level (sigma)=152019.0431.81———
DnCNNNoise Level (sigma)=152019.0431.73———
DnCNNTrainable Params=556k, Noise Level (σ)=15, Training Set=BSD4002019.1231.73———
GroupSCTrainable Params=68k, Noise Level (σ)=15, Training Set=BSD4002019.1231.71———
IrCNNNoise Level (sigma)=152019.0431.63———
FFDNetNoise Level (sigma)=152019.0431.63———
FFDNetTrainable Params=486k, Noise Level (σ)=15, Training Set=BSD4002019.1231.63———
CSCnetTrainable Params=62k, Noise Level (σ)=15, Training Set=Waterloo+BSD4002019.1231.57———
LKSVDTrainable Params=45K, Noise Level (σ)=15, Training Set=BSD4002019.1231.54———
NLNetNoise Level (sigma)=152019.0431.52———
NLNetNoise Level (σ)=15, Training Set=BSD4002019.1231.52———
SCTrainable Params=68k, Noise Level (σ)=15, Training Set=BSD4002019.1231.46———
DenoiseNetNoise Level (sigma)=152019.0431.44———
TNRDNoise Level (sigma)=152019.0431.42———
TNRDNoise Level (σ)=15, Training Set=BSD4002019.1231.42———
CSCnetTrainable Params=62k, Noise Level (σ)=15, Training Set=BSD4002019.1231.4———
BM3D PCATrainable Params=0, Noise Level (σ)=15, Training Set=BSD4002019.1231.38———
WNNMNoise Level (sigma)=152019.0431.32———
LSSCTrainable Params=0, Noise Level (σ)=15, Training Set=BSD4002019.1231.28———
EPLLNoise Level (sigma)=152019.0431.19———
BM3DNoise Level (sigma)=152019.0431.08———
BM3DTrainable Params=0, Noise Level (σ)=15, Training Set=BSD4002019.1231.07———
NLRNTrainable Params=330k, Noise Level (σ)=25, Training Set=BSD4002019.1229.41———
RIDNetNoise Level (sigma)=252019.0429.34———
N3Trainable Params=706k, Noise Level (σ)=25, Training Set=BSD4002019.1229.3———
DnCNNNoise Level (sigma)=252019.0429.23———
FFDNetNoise Level (sigma)=252019.0429.23———
DnCNNTrainable Params=556k, Noise Level (σ)=25, Training Set=BSD4002019.1229.22———
GroupSCTrainable Params=68k, Noise Level (σ)=25, Training Set=BSD4002019.1229.2———
FFDNetTrainable Params=486k, Noise Level (σ)=25, Training Set=BSD4002019.1229.19———
IrCNNNoise Level (sigma)=252019.0429.15———
CSCnetTrainable Params=62k, Noise Level (σ)=25, Training Set=Waterloo+BSD4002019.1229.11———
LKSVDTrainable Params=45K, Noise Level (σ)=25, Training Set=BSD4002019.1229.07———
DenoiseNetNoise Level (sigma)=252019.0429.04———
NLNetNoise Level (sigma)=252019.0429.03———
NLNetNoise Level (σ)=25, Training Set=BSD4002019.1229.03———
CSCnetTrainable Params=62k, Noise Level (σ)=25, Training Set=BSD4002019.1228.93———
TNRDNoise Level (sigma)=252019.0428.92———
TNRDNoise Level (σ)=25, Training Set=BSD4002019.1228.92———
SCTrainable Params=68k, Noise Level (σ)=25, Training Set=BSD4002019.1228.9———
WNNMNoise Level (sigma)=252019.0428.83———
BM3D PCATrainable Params=0, Noise Level (σ)=25, Training Set=BSD4002019.1228.82———
LSSCTrainable Params=0, Noise Level (σ)=25, Training Set=BSD4002019.1228.71———
EPLLNoise Level (sigma)=252019.0428.68———
RNANsigma=302020.0128.61———
SADNetsigma=302020.0128.61———
BM3DNoise Level (sigma)=252019.0428.57———
BM3DTrainable Params=0, Noise Level (σ)=25, Training Set=BSD4002019.1228.57———
RIDNetsigma=302020.0128.54———
MemNetsigma=302020.0128.43———
FFDNetsigma=302020.0128.39———
DnCNNsigma=302020.0128.36———
BM3Dsigma=302020.0127.76———
SADNetsigma=502020.0126.51———
RNANsigma=502020.0126.48———
NLRNTrainable Params=330k, Noise Level (σ)=50, Training Set=BSD4002019.1226.47———
RIDNetNoise Level (sigma)=502019.0426.4———
RIDNetsigma=502020.0126.4———
N3Trainable Params=706k, Noise Level (σ)=50, Training Set=BSD4002019.1226.39———
MemNetsigma=502020.0126.35———
FFDNetNoise Level (sigma)=502019.0426.29———
FFDNetsigma=502020.0126.29———
FFDNetTrainable Params=486k, Noise Level (σ)=50, Training Set=BSD4002019.1226.29———
CSCnetTrainable Params=62k, Noise Level (σ)=50, Training Set=Waterloo+BSD4002019.1226.24———
DnCNNNoise Level (sigma)=502019.0426.23———
DnCNNsigma=502020.0126.23———
DnCNNTrainable Params=556k, Noise Level (σ)=50, Training Set=BSD4002019.1226.23———
IrCNNNoise Level (sigma)=502019.0426.19———
GroupSCTrainable Params=68k, Noise Level (σ)=50, Training Set=BSD4002019.1226.17———
LKSVDTrainable Params=45K, Noise Level (σ)=50, Training Set=BSD4002019.1226.13———
NLNetNoise Level (sigma)=502019.0426.07———
NLNetNoise Level (σ)=50, Training Set=BSD4002019.1226.07———
DenoiseNetNoise Level (sigma)=502019.0426.06———
CSCnetTrainable Params=62k, Noise Level (σ)=50, Training Set=BSD4002019.1226.04———
TNRDNoise Level (sigma)=502019.0426.01———
TNRDNoise Level (σ)=50, Training Set=BSD4002019.1225.97———
SCTrainable Params=68k, Noise Level (σ)=50, Training Set=BSD4002019.1225.84———
WNNMNoise Level (sigma)=502019.0425.83———
BM3D PCATrainable Params=0, Noise Level (σ)=50, Training Set=BSD4002019.1225.8———
LSSCTrainable Params=0, Noise Level (σ)=50, Training Set=BSD4002019.1225.72———
EPLLNoise Level (sigma)=502019.0425.67———
BM3DNoise Level (sigma)=502019.0425.62———
BM3Dsigma=502020.0125.62———
BM3DTrainable Params=0, Noise Level (σ)=50, Training Set=BSD4002019.1225.62———
SADNetsigma=702020.0125.24———
RNANsigma=702020.0125.18———
RIDNetsigma=702020.0125.12———
MemNetsigma=702020.0125.09———
FFDNetsigma=702020.0125.04———
DnCNNsigma=702020.0124.9———