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Title: GitHub - yanmenglu/DeepLPF: Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement" · GitHub

Open Graph Title: GitHub - yanmenglu/DeepLPF: Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

X Title: GitHub - yanmenglu/DeepLPF: Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

Description: Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement" - yanmenglu/DeepLPF

Open Graph Description: Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement" - yanmenglu/DeepLPF

X Description: Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement" - yanmenglu/DeepLPF

Opengraph URL: https://github.com/yanmenglu/DeepLPF

X: @github

direct link

Domain: github.com

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https://github.com/yanmenglu/DeepLPF#deeplpf-deep-local-parametric-filters-for-image-enhancement-cvpr-2020
Sean Moranhttp://www.seanjmoran.com
Pierre Marzahttps://scholar.google.com/citations?user=NAI5mi4AAAAJ&hl=en
Steven McDonaghhttps://smcdonagh.github.io/
Sarah Parisothttps://parisots.github.io/
Greg Slabaughhttp://gregslabaugh.net/
https://github.com/yanmenglu/DeepLPF/blob/master/images/teaser.png
[Paper]https://arxiv.org/abs/2003.13985
[Poster]https://github.com/sjmoran/sjmoran.github.io/blob/main/pdfs/DeepLPF_CVPR20_poster.pdf
[Video]https://www.youtube.com/watch?v=Sxach3FM6FY
[Supplementary]https://github.com/sjmoran/sjmoran.github.io/blob/7775d1fc39d14baeb6935f6c750f923e1251f491/pdfs/DeepLPF_supplementary.pdf
https://github.com/yanmenglu/DeepLPF#paper-poster-video-supplementary
https://www.youtube.com/watch?v=Sxach3FM6FY
https://github.com/sjmoran/sjmoran.github.io/blob/main/pdfs/DeepLPF_CVPR20_poster.pdf
https://github.com/sjmoran/DeepLPF/blob/e6d160eed2a5f72c89e690bc81f1a59f09873085/adobe5k_dpe/deeplpf_example_test_input/a4576-DSC_0217_input.png
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https://github.com/yanmenglu/DeepLPF#dependencies
https://github.com/yanmenglu/DeepLPF#how-to-train-deeplpf-and-use-the-model-for-inference
https://github.com/yanmenglu/DeepLPF#training-deeplpf
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https://github.com/yanmenglu/DeepLPF#inference---using-pre-trained-models-for-prediction
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herehttps://data.csail.mit.edu/graphics/fivek/
paperhttps://github.com/nothinglo/Deep-Photo-Enhancer
herehttps://github.com/nothinglo/Deep-Photo-Enhancer/issues/38#issuecomment-449786636
filehttps://www.cmlab.csie.ntu.edu.tw/project/Deep-Photo-Enhancer/%5BExperimental_Code_Data%5D_Deep-Photo-Enhancer.zip
adobe5k_dpehttps://github.com/yanmenglu/DeepLPF/blob/master/adobe5k_dpe
herehttps://data.csail.mit.edu/graphics/fivek/
paperhttps://github.com/wangruixing/DeepUPE
herehttps://github.com/wangruixing/DeepUPE/issues/26
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