mlsanityData to 14 Oct 2026

Instance Normalization: The Missing Ingredient for Fast Stylization

arXiv 1607.08022 ↗First posted 27 Jul 2016cs.CVcited by 1,198

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Cited by 23 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

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.

Key facts. Cited by 1,198 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jul 2016.

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Citing papers per year: 2019: 2; 2020: 0; 2021: 294; 2022: 283; 2023: 232; 2024: 182; 2025: 116; 2026: 89.

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