Deep Correlation Multimodal Neural Style Transfer

Deep Correlation Multimodal Neural Style Transfer

Style transfer is a well-known approach used to transfer the art style of a style image to an input content image, and the core method of the style transfer is to use the Gram matrix for representing the style features of images. In this paper, we investigate the advantages and disadvantages of usin...

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Bibliographic Details
Main Authors: Nguyen Quang Tuyen, Son Truong Nguyen, Tae Jong Choi, Vinh Quang Dinh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Style transfer
image generation
correlation loss
Online Access:https://ieeexplore.ieee.org/document/9570351/

Internet

https://ieeexplore.ieee.org/document/9570351/

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