Quantitative comparison on synthetic images.
| Dataset | SOTS-indoor | SOTS-outdoor | ||
|---|---|---|---|---|
| Metrics | PSNR | SSIM | PSNR | SSIM |
| Zhang et al. [68]† | 15.85 | 0.8175 | 19.93 | 0.8449 |
| Ren et al. [55]† | 22.30 | 0.8800 | 21.55 | 0.8444 |
| Liu et al. [44] | 22.46/0.8844 | |||
| Dong et al. [19] | 22.81 | 0.8889 | 22.82 | 0.8886 |
| Qu et al. [53] | 25.06 | 0.9232 | 22.57 | 0.8630 |
| Shao et al. [57] | 27.76/0.93 | |||
| Li et al. [42] | − | − | 0.934 | |
| Wu et al. [63] | 23.85/0.91 | |||
| Chen et al. [14] | 25.8079/0.9266 | |||
| Zhang et al. [70] | 25.00 | 0.9172 | 29.03 | 0.9570 |
| Li et al. [39] | 23.93/0.936 | |||
| Kim et al. [31] | 19.93 | 0.8633 | 24.96 | 0.9421 |
| Ours | 29.37 | 0.9783 | 29.06 | 0.9749 |
| Dataset | SOTS-indoor | SOTS-outdoor | ||
|---|---|---|---|---|
| Metrics | PSNR | SSIM | PSNR | SSIM |
| Zhang | 15.85 | 0.8175 | 19.93 | 0.8449 |
| Ren | 22.30 | 0.8800 | 21.55 | 0.8444 |
| Liu | 22.46/0.8844 | |||
| Dong | 22.81 | 0.8889 | 22.82 | 0.8886 |
| Qu | 25.06 | 0.9232 | 22.57 | 0.8630 |
| Shao | 27.76/0.93 | |||
| Li | − | − | 0.934 | |
| Wu | 23.85/0.91 | |||
| Chen | 25.8079/0.9266 | |||
| Zhang | 25.00 | 0.9172 | 29.03 | 0.9570 |
| Li | 23.93/0.936 | |||
| Kim | 19.93 | 0.8633 | 24.96 | 0.9421 |
| Ours | ||||
Note: For f we report the performance from the re-implemented result of [53].
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