Articles with "style transfer" as a keyword



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Two-stream FCNs to balance content and style for style transfer

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Published in 2020 at "Machine Vision and Applications"

DOI: 10.1007/s00138-020-01086-1

Abstract: Style transfer is to render given image contents in given styles, and it has an important role in both computer vision fundamental research and industrial applications. Following the success of deep learning-based approaches, this problem… read more here.

Keywords: style; content style; style transfer; two stream ... See more keywords
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Synthesizing data for text recognition with style transfer

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6656-3

Abstract: Most of the existing datasets for scene text recognition merely consist of a few thousand training samples with a very limited vocabulary, which cannot meet the requirement of the state-of-the-art deep learning based text recognition… read more here.

Keywords: text recognition; synthesizing data; style transfer; transfer ... See more keywords
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Towards unsupervised text multi-style transfer with parameter-sharing scheme

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.09.064

Abstract: Abstract Text style transfer is an important task in the field of natural language generation. Because of the lack of parallel data, it is a challenge to address this problem in an unsupervised manner. Existing… read more here.

Keywords: task; style transfer; unsupervised text; multi style ... See more keywords
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Generation of microbial colonies dataset with deep learning style transfer

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Published in 2022 at "Scientific Reports"

DOI: 10.1038/s41598-022-09264-z

Abstract: We introduce an effective strategy to generate an annotated synthetic dataset of microbiological images of Petri dishes that can be used to train deep learning models in a fully supervised fashion. The developed generator employs… read more here.

Keywords: usepackage; documentclass 12pt; deep learning; document ... See more keywords
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Style Permutation for Diversified Arbitrary Style Transfer

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3034653

Abstract: Arbitrary neural style transfer aims to render a content image in a randomly given artistic style using the features extracted from a well-trained convolutional neural network. Existing style transfer algorithms have demonstrated astonishing results. However,… read more here.

Keywords: style; style permutation; permutation diversified; style transfer ... See more keywords
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Arbitrary Style Transfer With Fused Convolutional Block Attention Modules

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3273949

Abstract: The advancement of deep learning has rendered image style transfer a progressively intricate subject matter. The proposed solution aims to tackle the limitations of current methods in retaining the content image object contours and avoiding… read more here.

Keywords: network; style; attention; style transfer ... See more keywords
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Neural Style Transfer With Adaptive Auto-Correlation Alignment Loss

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Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3165758

Abstract: The neural style transfer has achieved a significant improvement with deep learning methods. However, the existing methods are susceptible to lack the ability for handling the texture style transfer because of their less consideration of… read more here.

Keywords: style; adaptive auto; auto correlation; style transfer ... See more keywords
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Style Transfer Via Texture Synthesis

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Published in 2017 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2017.2678168

Abstract: Style transfer is a process of migrating a style from a given image to the content of another, synthesizing a new image, which is an artistic mixture of the two. Recent work on this problem… read more here.

Keywords: texture synthesis; style; style transfer; transfer ... See more keywords
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Few-Shot Text Style Transfer via Deep Feature Similarity

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Published in 2020 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2020.2995062

Abstract: Generating text to have a consistent style with only a few observed highly-stylized text samples is a difficult task for image processing. The text style involving the typography, i.e., font, stroke, color, decoration, effects, etc.,… read more here.

Keywords: style; text; similarity; text style ... See more keywords
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Consistent Video Style Transfer via Relaxation and Regularization

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Published in 2020 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2020.3024018

Abstract: In recent years, neural style transfer has attracted more and more attention, especially for image style transfer. However, temporally consistent style transfer for videos is still a challenging problem. Existing methods, either relying on a… read more here.

Keywords: video; style; relaxation; style transfer ... See more keywords
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CLAST: Contrastive Learning for Arbitrary Style Transfer

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Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3215899

Abstract: Arbitrary style transfer aims at migrating the style of a reference style painting to a target content image. Existing methods find it challenging to achieve good content fidelity and style migration at the same time.… read more here.

Keywords: style transfer; style; arbitrary style; contrastive learning ... See more keywords