Two-stream FCNs to balance content and style for style transfer
Sign Up to like & getrecommendations! 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
Synthesizing data for text recognition with style transfer
Sign Up to like & getrecommendations! 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
Towards unsupervised text multi-style transfer with parameter-sharing scheme
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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
Generation of microbial colonies dataset with deep learning style transfer
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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
Style Permutation for Diversified Arbitrary Style Transfer
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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
Arbitrary Style Transfer With Fused Convolutional Block Attention Modules
Sign Up to like & getrecommendations! 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
CycleGAN for Flash-to-Ambient Image Conversion: A Style Transfer Approach
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3510042
Abstract: With the increasing prominence of mobile photography, capturing high-quality images in low-light conditions, especially with flash, remains a significant challenge. This study introduces innovative deep learning techniques to convert flash images into ambient images, with… read more here.
Keywords: ambient image; image conversion; style transfer; flash ambient ... See more keywords
Shade Artifact Reduction in CBCT-to-MDCT: Fine-Tuning Based on Style Transfer and Human Feedback
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DOI: 10.1109/access.2025.3552063
Abstract: Cone beam computed tomography (CBCT) is widely used in dental treatment due to its low radiation dose and cost. However, it has lower image quality compared to Multi Detector Computed Tomography (MDCT), limiting its use… read more here.
Keywords: cbct; style transfer; human feedback; mdct ... See more keywords
Multi-Scale Attentional Style Transfer Model With Imbalanced Contrastive Loss
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3564902
Abstract: To address the limitations of existing image style transfer models in style-content fidelity, training stability, and computational efficiency, we propose a Multi-Scale Attentional Style Transfer Model with Imbalanced Contrastive Loss. First, we design a multi-scale… read more here.
Keywords: loss; style transfer; style; multi scale ... See more keywords
Neural Style Transfer With Adaptive Auto-Correlation Alignment Loss
Sign Up to like & getrecommendations! 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
Embedding Secret Message in Chinese Characters via Glyph Perturbation and Style Transfer
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3377903
Abstract: Glyph perturbation adjusts the characters’ structures and strokes to make the original characters change subtly, which cannot be detected by the naked eye. These generated variants with different glyph perturbation can represent different status of… read more here.
Keywords: perturbation; chinese characters; style transfer; glyph perturbation ... See more keywords