文件名称:waifu2x-master

介绍说明--下载内容均来自于网络,请自行研究使用

又waifu2x提供,可以去git上找源码,这里方便大家使用。主要是通过卷积神经网,进行图片的放大达到超分辨率作用。-And waifu2x offer, you can go on to find the git source code, to facilitate the use here. Mainly through the convolution neural network, amplified to achieve super-resolution image of the role.
(系统自动生成,下载前可以参看下载内容)

下载文件列表





waifu2x-master

..............\.gitattributes

..............\.gitignore

..............\LICENSE

..............\NOTICE

..............\README.md

..............\appendix

..............\........\benchmark.md

..............\........\purge_cache.lua

..............\........\purge_cache.sh

..............\........\run-web.sh

..............\........\waifu2x.nginx.conf

..............\........\waifu2x.upstart.conf

..............\assets

..............\......\bg.png

..............\......\favicon.ico

..............\......\index.de.html

..............\......\index.es.html

..............\......\index.fr.html

..............\......\index.html

..............\......\index.ja.html

..............\......\index.ko.html

..............\......\index.pt.html

..............\......\index.ru.html

..............\......\index.tr.html

..............\......\index.zh-CN.html

..............\......\mobile.css

..............\......\style.css

..............\......\ui.js

..............\cache

..............\.....\.gitkeep

..............\convert_data.lua

..............\data

..............\....\.gitkeep

..............\images

..............\......\gen.sh

..............\......\lena.png

..............\......\lena_waifu2x.png

..............\......\lena_waifu2x_ukbench.png

..............\......\miku_CC_BY-NC.jpg

..............\......\miku_CC_BY-NC_noisy.jpg

..............\......\miku_CC_BY-NC_noisy_lanczos3.png

..............\......\miku_CC_BY-NC_noisy_waifu2x.png

..............\......\miku_bg.png

..............\......\miku_noisy.jpg

..............\......\miku_noisy.png

..............\......\miku_noisy_selective_blur.png

..............\......\miku_noisy_waifu2x.png

..............\......\miku_small.png

..............\......\miku_small_hq2x.png

..............\......\miku_small_lanczos3.png

..............\......\miku_small_noisy.jpg

..............\......\miku_small_noisy.png

..............\......\miku_small_noisy_lanczos3.png

..............\......\miku_small_noisy_waifu2x.png

..............\......\miku_small_waifu2x.png

..............\......\slide.odp

..............\......\slide.png

..............\......\slide_noise_reduction.png

..............\......\slide_result.png

..............\......\slide_tone.png

..............\......\slide_upscaling.png

..............\......\tone.png

..............\......\tone_waifu2x.png

..............\......\tone_waifu2x_downscale.png

..............\lib

..............\...\ClippedWeightedHuberCriterion.lua

..............\...\DepthExpand2x.lua

..............\...\LeakyReLU.lua

..............\...\LeakyReLU_deprecated.lua

..............\...\PSNRCriterion.lua

..............\...\WeightedMSECriterion.lua

..............\...\alpha_util.lua

..............\...\cleanup_model.lua

..............\...\compression.lua

..............\...\data_augmentation.lua

..............\...\image_loader.lua

..............\...\iproc.lua

..............\...\minibatch_adam.lua

..............\...\pairwise_transform.lua

..............\...\reconstruct.lua

..............\...\settings.lua

..............\...\srcnn.lua

..............\...\w2nn.lua

..............\models

..............\......\anime_style_art

..............\......\...............\noise1_model.json

..............\......\...............\noise1_model.t7

..............\......\...............\noise2_model.json

..............\......\...............\noise2_model.t7

..............\......\...............\noise3_model.json

..............\......\...............\noise3_model.t7

..............\......\...............\scale2.0x_model.json

..............\......\...............\scale2.0x_model.t7

..............\......\anime_style_art_rgb

..............\......\...................\noise1_model.json

..............\......\...................\noise1_model.t7

..............\......\...................\noise2_model.json

..............\......\...................\noise2_model.t7

..............\......\...................\noise3_model.json

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