Color Image Denoising on CBSD68
34.47PSNRATD-U
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ATD-Usigma=152026.03 | 34.47 | — | |
| SwinFIRsigma=152022.08 | 34.43 | — | |
| Xformersigma=152026.03 | 34.43 | — | |
| SwinIRsigma=152022.08 | 34.42 | — | |
| SwinIRNoise Level=152022.03 | 34.42 | — | |
| SwinIRNoise level (σ)=152021.08 | 34.42 | — | |
| SwinIRsigma=152026.03 | 34.42 | — | |
| RestormerNoise Level=152022.03 | 34.4 | — | |
| SCUNetNoise Level=152022.03 | 34.4 | — | |
| Restormersigma=152026.03 | 34.4 | — | |
| WholeCondense Ratio=-2025.05 | 34.37 | 0.9351 | |
| IDCCondense Ratio=1%2025.05 | 34.36 | 0.9348 | |
| UniformCondense Ratio=10%2025.05 | 34.35 | 0.9347 | |
| DRUNetNoise Level=152022.03 | 34.3 | — | |
| DRUNetNoise level (σ)=152021.08 | 34.3 | — | |
| DRUNetsigma=152026.03 | 34.3 | — | |
| BRDNetNoise Level=152022.03 | 34.1 | — | |
| RPCNNNoise level (σ)=152021.08 | 34.1 | — | |
| DSNetNoise Level=152022.03 | 33.91 | — | |
| DSNetNoise level (σ)=152021.08 | 33.91 | — | |
| DnCNNNoise Level=152022.03 | 33.9 | — | |
| DnCNNNoise level (σ)=152021.08 | 33.9 | — | |
| DnCNNsigma=152026.03 | 33.9 | — | |
| FFDNetNoise Level=152022.03 | 33.87 | — | |
| FFDNetNoise level (σ)=152021.08 | 33.87 | — | |
| FFDNetsigma=152026.03 | 33.87 | — | |
| IRCNNNoise level (σ)=152021.08 | 33.86 | — | |
| IRCNNsigma=152026.03 | 33.86 | — | |
| RestormerNoise level (sigma)=152026.03 | 33.85 | 0.9316 | |
| Restormersigma=15, Training dataset=BSD5002026.03 | 33.85 | 0.9316 | |
| Noise2VSTNoise level (sigma)=152026.03 | 33.71 | 0.9288 | |
| Noise2VSTsigma=15, Training dataset=BSD5002026.03 | 33.71 | 0.9288 | |
| DnCNNNoise level (sigma)=152026.03 | 33.63 | 0.9296 | |
| DnCNNsigma=15, Training dataset=BSD5002026.03 | 33.63 | 0.9296 | |
| BM3DNoise level (σ)=152021.08 | 33.52 | — | |
| BM3Dsigma=152026.03 | 33.52 | — | |
| SCUNetsigma=152026.03 | 33.4 | — | |
| Provably Contractive DenoiserNoise level (sigma)=152026.03 | 32.74 | 0.9115 | |
| Provably Contractive Denoisersigma=15, Training dataset=BSD5002026.03 | 32.74 | 0.9115 | |
| IDFNoise level (sigma)=152026.03 | 32.18 | 0.8915 | |
| IDFsigma=15, Training dataset=BSD5002026.03 | 32.18 | 0.8915 | |
| ATD-Usigma=252026.03 | 31.85 | — | |
| Xformersigma=252026.03 | 31.82 | — | |
| RestormerNoise Level=252022.03 | 31.79 | — | |
| SCUNetNoise Level=252022.03 | 31.79 | — | |
| Restormersigma=252026.03 | 31.79 | — | |
| SCUNetsigma=252026.03 | 31.79 | — | |
| SwinIRNoise Level=252022.03 | 31.78 | — | |
| SwinIRNoise level (σ)=252021.08 | 31.78 | — | |
| SwinIRsigma=252026.03 | 31.78 | — | |
| DRUNetNoise Level=252022.03 | 31.69 | — | |
| DRUNetNoise level (σ)=252021.08 | 31.69 | — | |
| DRUNetsigma=252026.03 | 31.69 | — | |
| BRDNetNoise Level=252022.03 | 31.43 | — | |
| BRDNetNoise level (σ)=252021.08 | 31.43 | — | |
| DSNetNoise Level=252022.03 | 31.28 | — | |
| DSNetNoise level (σ)=252021.08 | 31.28 | — | |
| DnCNNNoise Level=252022.03 | 31.24 | — | |
| DnCNNNoise level (σ)=252021.08 | 31.24 | — | |
| RPCNNNoise level (σ)=252021.08 | 31.24 | — | |
| DnCNNsigma=252026.03 | 31.24 | — | |
| FFDNetNoise Level=252022.03 | 31.21 | — | |
| FFDNetNoise level (σ)=252021.08 | 31.21 | — | |
| FFDNetsigma=252026.03 | 31.21 | — | |
| IRCNNNoise level (σ)=252021.08 | 31.16 | — | |
| IRCNNsigma=252026.03 | 31.16 | — | |
| Noise2VSTNoise level (sigma)=252026.03 | 31.03 | 0.8877 | |
| Noise2VSTsigma=25, Training dataset=BSD5002026.03 | 31.03 | 0.8877 | |
| RestormerNoise level (sigma)=252026.03 | 30.9 | 0.8837 | |
| Restormersigma=25, Training dataset=BSD5002026.03 | 30.9 | 0.8837 | |
| DnCNNNoise level (sigma)=252026.03 | 30.72 | 0.8806 | |
| DnCNNsigma=25, Training dataset=BSD5002026.03 | 30.72 | 0.8806 | |
| BM3DNoise level (σ)=252021.08 | 30.71 | — | |
| BM3Dsigma=252026.03 | 30.71 | — | |
| D-FBSNoise level (sigma)=152026.03 | 30.12 | 0.8409 | |
| D-FBSsigma=15, Training dataset=BSD5002026.03 | 30.12 | 0.8409 | |
| D-DRSNoise level (sigma)=152026.03 | 30.07 | 0.8526 | |
| D-DRSsigma=15, Training dataset=BSD5002026.03 | 30.07 | 0.8526 | |
| IDFNoise level (sigma)=252026.03 | 29.8 | 0.8435 | |
| IDFsigma=25, Training dataset=BSD5002026.03 | 29.8 | 0.8435 | |
| Provably Contractive DenoiserNoise level (sigma)=252026.03 | 29.78 | 0.8501 | |
| Provably Contractive Denoisersigma=25, Training dataset=BSD5002026.03 | 29.78 | 0.8501 | |
| ATD-Usigma=502026.03 | 28.66 | — | |
| Xformersigma=502026.03 | 28.63 | — | |
| SCUNetNoise Level=502022.03 | 28.61 | — | |
| SCUNetsigma=502026.03 | 28.61 | — | |
| RestormerNoise Level=502022.03 | 28.6 | — | |
| Restormersigma=502026.03 | 28.6 | — | |
| SwinIRNoise Level=502022.03 | 28.56 | — | |
| SwinIRNoise level (σ)=502021.08 | 28.56 | — | |
| SwinIRsigma=502026.03 | 28.56 | — | |
| DRUNetNoise Level=502022.03 | 28.51 | — | |
| DRUNetNoise level (σ)=502021.08 | 28.51 | — | |
| DRUNetsigma=502026.03 | 28.51 | — | |
| IPTNoise Level=502022.03 | 28.39 | — | |
| IPTNoise level (σ)=502021.08 | 28.39 | — | |
| RDNNoise Level=502022.03 | 28.31 | — | |
| RDNNoise level (σ)=502021.08 | 28.31 | — | |
| RNANNoise Level=502022.03 | 28.27 | — | |
| RNANNoise level (σ)=502021.08 | 28.27 | — |