Burst Denoising on color burst denoising set (test)
42.28Gain x1BIPNet
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BIPNet2021.10 | 42.28 | 40.2 | 37.85 | 34.64 | 38.74 | — | — | — | — | — | — | |
| MFIR2021.10 | 42.21 | 39.13 | 35.75 | 32.52 | 37.4 | — | — | — | — | — | — | |
| MFIR2023.04 | 41.9 | 38.85 | 35.48 | 32.29 | 37.13 | — | — | — | — | — | — | |
| Burstormer2023.04 | 41.7 | 39.15 | 36.09 | 33.44 | 37.59 | — | — | — | — | — | — | |
| BIPNet2023.04 | 40.58 | 38.13 | 35.3 | 32.87 | 36.72 | — | — | — | — | — | — | |
| BPN2021.10 | 40.16 | 37.08 | 33.81 | 31.19 | 35.56 | — | — | — | — | — | — | |
| BPN2023.04 | 40.16 | 37.08 | 33.81 | 31.19 | 35.56 | — | — | — | — | — | — | |
| KPN2021.10 | 38.86 | 35.97 | 32.79 | 30.01 | 34.41 | — | — | — | — | — | — | |
| KPN2023.04 | 38.86 | 35.97 | 32.79 | 30.01 | 34.41 | — | — | — | — | — | — | |
| BPN2021.08 | — | — | — | — | — | 40.16 | 37.08 | 33.81 | 31.19 | 35.56 | 0.328 | |
| Deep ReparametrizationFlow Network=PWCNet2021.08 | — | — | — | — | — | 42.21 | 39.13 | 35.75 | 32.52 | 37.4 | 0.198 | |
| Deep ReparametrizationFlow Network=Custom (Ours†)2021.08 | — | — | — | — | — | 41.9 | 38.85 | 35.48 | 32.29 | 37.13 | 0.046 | |
| KPN2021.08 | — | — | — | — | — | 38.86 | 35.97 | 32.79 | 30.01 | 34.41 | — | |
| SingleImageDescription=Baseline consisting of only the encoder and decoder2021.08 | — | — | — | — | — | 37.94 | 34.98 | 31.74 | 28.03 | 33.17 | 0.005 |