EDVR_Vimeo90K_SR_L.pth

上传者: hunxian2417 | 上传时间: 2022-10-29 14:45:57 | 文件大小: 79.01MB | 文件类型: PTH
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.

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