Papers › Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
It this paper we revisit the fast stylization method introduced in Ulyanov et. al. (2016). We show how a small change in the stylization architecture results in a significant qualitative improvement in the generated images. The change is limited to swapping batch normalization with instance normalization, and to apply the latter both at training and testing times. The resulting method can be used to train high-performance architectures for real-time image generation. The code will is made available on github at https://github.com/DmitryUlyanov/texture_nets. Full paper can be found at arXiv:1701.02096.
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Code
Syntology Ran 1 of 18 code samples harvested from 3 repositories linked to this paper; 17 have no recorded run. Of those that ran: 1 ran · our draft was wrong.
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Code Syntology ran Syntology
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Tasks
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Methods
Introduced by this paper: Instance Normalization
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