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FastPhotoStyle

Style transfer, deep learning, feature transform

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  • Owner: NVIDIA/FastPhotoStyle
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License CC BY-NC-SA 4.0
Python 2.7
Python 3.5

FastPhotoStyle

License

Copyright (C) 2018 NVIDIA Corporation. All rights reserved.
Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).

What's new, Date, News, ----------, --------------, 2018-07-25, Migrate to pytorch 0.4.0. For pytorch 0.3.0 user, check out FastPhotoStyle for pytorch 0.3.0., Add a tutorial showing 3 ways of using the FastPhotoStyle algorithm., 2018-07-10, Our paper is accepted by the ECCV 2018 conference!!!, ### About

Given a content photo and a style photo, the code can transfer the style of the style photo to the content photo. The details of the algorithm behind the code is documented in our arxiv paper. Please cite the paper if this code repository is used in your publications.

A Closed-form Solution to Photorealistic Image Stylization
Yijun Li (UC Merced), Ming-Yu Liu (NVIDIA), Xueting Li (UC Merced), Ming-Hsuan Yang (NVIDIA, UC Merced), Jan Kautz (NVIDIA)
European Conference on Computer Vision (ECCV), 2018

Tutorial

Please check out the tutorial.

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Overview
Name With OwnerNVIDIA/FastPhotoStyle
Primary LanguagePython
Program languagePython (Language Count: 3)
Platform
License:Other
所有者活动
Created At2018-02-14 17:29:52
Pushed At2023-06-07 07:40:31
Last Commit At2019-02-27 07:42:02
Release Count1
Last Release Namef33e07f (Posted on )
First Release Namef33e07f (Posted on )
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Stargazers Count11.2k
Watchers Count272
Fork Count1.2k
Commits Count92
Has Issues Enabled
Issues Count87
Issue Open Count48
Pull Requests Count6
Pull Requests Open Count9
Pull Requests Close Count13
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