Towards compact reversible image representations for neural style transfer

Arbitrary neural style transfer aims to stylise a content image by referencing a provided style image. Despite various efforts to achieve both content preservation and style transferability, learning effective representations for this task remains challenging since the redundancy of content and styl...

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Bibliographic Details
Main Authors: Xiyao Liu, Siyu Yang, Jian Zhang, Gerald Schaefer, Jiya Li, Xunli Fan, Songtao Wu, Hui Fang
Format: Default Conference proceeding
Published: 2024
Subjects:
neural style transfer
information theory
reversible generative model
feature redundancy
Online Access:https://hdl.handle.net/2134/26139727.v1
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