Survey of Approaches to Non-Realistic Neural Style Transfer
Despite researchers interest toward style transfer problem, there is still no state-of-the-art method available. Difficulties in problem formalization make a comparison of methods especially complicated. This paper covers twelve widely used algorithms in order to provide their comprehensive descript...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Arina Varlamova [verfasserIn] Victor Kitov [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Proceedings of the XXth Conference of Open Innovations Association FRUCT - FRUCT, 2017, 31(2022), 1, Seite 355-362 |
|---|---|
| Übergeordnetes Werk: |
volume:31 ; year:2022 ; number:1 ; pages:355-362 |
| Links: |
Link aufrufen |
|---|
| DOI / URN: |
10.23919/FRUCT54823.2022.9770893 |
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Despite researchers interest toward style transfer problem, there is still no state-of-the-art method available. Difficulties in problem formalization make a comparison of methods especially complicated. This paper covers twelve widely used algorithms in order to provide their comprehensive description and advantages one other another. |
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