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Comparisons among different anime models
Update News
- 2022/04/24: Release AnimeVideo-v3. We have made the following improvements:
- better naturalness
- Fewer artifacts
- more faithful to the original colors
- better texture restoration
- better background restoration
Comparisons
We have compared our RealESRGAN-AnimeVideo-v3 with the following methods. Our RealESRGAN-AnimeVideo-v3 can achieve better results with faster inference speed.
- waifu2x with the hyperparameters:
tile=0,noiselevel=2 - Real-CUGAN: we use the 20220227 version, the hyperparameters are:
cache_mode=0,tile=0,alpha=1. - our RealESRGAN-AnimeVideo-v3
Results
You may need to zoom in for comparing details, or click the image to see in the full size. Please note that the images in the table below are the resized and cropped patches from the original images, you can download the original inputs and outputs from Google Drive .
More natural results, better background restoration
| Input | waifu2x | Real-CUGAN | RealESRGAN AnimeVideo-v3 |
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Fewer artifacts, better detailed textures
| Input | waifu2x | Real-CUGAN | RealESRGAN AnimeVideo-v3 |
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Other better results
| Input | waifu2x | Real-CUGAN | RealESRGAN AnimeVideo-v3 |
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Inference Speed
PyTorch
Note that we only report the model time, and ignore the IO time.
| GPU | Input Resolution | waifu2x | Real-CUGAN | RealESRGAN-AnimeVideo-v3 |
|---|---|---|---|---|
| V100 | 1921 x 1080 | - | 3.4 fps | 10.0 fps |
| V100 | 1280 x 720 | - | 7.2 fps | 22.6 fps |
| V100 | 640 x 480 | - | 24.4 fps | 65.9 fps |
ncnn
- TODO