https://github.com/hysts/anime-face-detector
2022-11-10 12:22:09
235.04MB
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https://github.com/hysts/anime-face-detector
2022-11-10 12:22:08
158.04MB
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https://github.com/hysts/anime-face-detector
2022-11-10 12:22:07
37.52MB
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开源视频增强项目EDVR 训练好的模型EDVR_Vimeo90K_SR_L
Name convention
EDVR_(training dataset)_(track name)_(model complexity)
track name. There are four tracks in the NTIRE 2019 Challenges on Video Restoration and Enhancement:
SR: super-resolution with a fixed downsampling kernel (MATLAB bicubic downsampling kernel is frequently used). Most of the previous video SR methods focus on this setting.
SRblur: the inputs are also degraded with motion blur.
deblur: standard deblurring (motion blur).
deblurcomp: motion blur + video compression artifacts.
model complexity
L (Large): # of channels = 128, # of back residual blocks = 40. This setting is used in our competition submission.
M (Moderate): # of channels = 64, # of back residual blocks = 10.
2022-10-29 14:45:57
79.01MB
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facebookresearch的supervision-by-registration项目所需的pytorch模型文件。
2022-10-26 20:59:46
127.56MB
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