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摘要: https://github.com/alyssaq/face_morpher 阅读全文
posted @ 2017-05-23 12:58 郭新晨 阅读(195) 评论(0) 推荐(0) 编辑
摘要: https://github.com/mrgloom/Face-Swap 阅读全文
posted @ 2017-05-23 12:56 郭新晨 阅读(170) 评论(0) 推荐(0) 编辑
摘要: https://handong1587.github.io/deep_learning/2015/10/09/fun-with-deep-learning.html 阅读全文
posted @ 2017-05-22 11:01 郭新晨 阅读(99) 评论(0) 推荐(0) 编辑
摘要: https://harishnarayanan.org/writing/artistic-style-transfer/ 阅读全文
posted @ 2017-05-22 10:59 郭新晨 阅读(135) 评论(0) 推荐(0) 编辑
摘要: http://cs.stanford.edu/people/jcjohns/ 阅读全文
posted @ 2017-05-22 10:56 郭新晨 阅读(143) 评论(0) 推荐(0) 编辑
摘要: 阅读全文
posted @ 2017-05-17 16:32 郭新晨 阅读(111) 评论(0) 推荐(0) 编辑
摘要: Each new term in the Fibonacci sequence is generated by adding the previous two terms. By starting with 1 and 2, the first 10 terms will be: 1, 2, 3, 阅读全文
posted @ 2017-05-13 16:24 郭新晨 阅读(160) 评论(0) 推荐(0) 编辑
摘要: https://people.csail.mit.edu/yichangshih/portrait_web/ 阅读全文
posted @ 2017-05-08 16:50 郭新晨 阅读(513) 评论(0) 推荐(0) 编辑
摘要: 阅读全文
posted @ 2017-05-08 15:06 郭新晨 阅读(119) 评论(0) 推荐(0) 编辑
摘要: https://github.com/albertlai/deep-style-transfer https://github.com/lengstrom/fast-style-transfer 阅读全文
posted @ 2017-05-08 14:03 郭新晨 阅读(182) 评论(0) 推荐(0) 编辑
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