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Підхід до реалізації системи моделювання зовнішності у реальному часі на основі семантичної сегментації обличчя

Approach to the implementation of the system for appearance modeling in real time based on semantic face segmentation

Підхід до реалізації системи моделювання зовнішності у реальному часі на основі семантичної сегментації обличчя

Keywords

дополненная реальность, обработка лица, Tensorflow.js, segmentation, обработка фотографий, обробка обличчя, нейронні мережі, neural networks, сегментация, сегментація, доповнена реальність, augmented reality, photo processing, смена причёски, PWA, обробка фотографій, face editing, нейронные сети, hairstyle editing, зміна зачіски, SPA

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green