FastPhotoStyle

Style transfer, deep learning, feature transform

  • 所有者: 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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概覽
名稱與所有者NVIDIA/FastPhotoStyle
主編程語言Python
編程語言Python (語言數: 3)
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許可證Other
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創建於2018-02-14 17:29:52
推送於2023-06-07 07:40:31
最后一次提交2019-02-27 07:42:02
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最新版本名稱f33e07f (發布於 )
第一版名稱f33e07f (發布於 )
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