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Add benchmark results

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nagadomi 2016-03-17 17:40:41 +09:00
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# Benchmark results
## dataset
photo_set: 300 various photos.
art_set : 90 artworks (PNG only).
## 2x upscaling model
| Dataset/Model | anime\_style\_art(Y) | anime\_style\_art\_rgb | photo | ukbench|
|---------------|----------------------|------------------------|---------|--------|
| photo\_test | 29.83 | 29.81 |**29.89**| 29.86 |
| art\_test | 36.02 | **36.24**| 34.92 | 34.85 |
The evaluation metric is PSNR(Y only), higher is better.
## Denosing level 1 model
| Dataset/Model | anime\_style\_art | anime\_style\_art\_rgb | photo |
|--------------------------|-------------------|------------------------|---------|
| photo\_test Quality 80 | 36.07 | **36.20**| 36.01 |
| photo\_test Quality 50,45| 31.72 | 32.01 |**32.31**|
| art\_test Quality 80 | 40.39 | **42.48**| 40.35 |
| art\_test Quality 50,45 | 35.45 | **36.70**| 36.27 |
The evaluation metric is PSNR(RGB), higher is better.
## Denosing level 2 model
| Dataset/Model | anime\_style\_art | anime\_style\_art\_rgb | photo |
|--------------------------|-------------------|------------------------|---------|
| photo\_test Quality 80 | 34.03 | 34.42 |**36.06**|
| photo\_test Quality 50,45| 31.95 | 32.31 |**32.42**|
| art\_test Quality 80 | 39.20 | **41.12**| 40.48 |
| art\_test Quality 50,45 | 36.14 | **37.78**| 36.55 |
The evaluation metric is PSNR(RGB), higher is better.