Results 31 to 40 of about 14,589,261 (282)
Artistic Style Transfer for Videos and Spherical Images [PDF]
International Journal of Computer Vision, 2018 v3: added ref to conference. This paper is a successor of and overlaps with arXiv:1604.08610, International Journal of Computer Vision (IJCV ...
Manuel Ruder +2 more
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Rethinking and Improving the Robustness of Image Style Transfer [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Extensive research in neural style transfer methods has shown that the correlation between features extracted by a pre-trained VGG network has a remarkable ability to capture the visual style of an image. Surprisingly, however, this stylization quality is not robust and often degrades significantly when applied to features from more advanced and ...
Pei Wang +2 more
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ITstyler: Image-optimized Text-based Style Transfer [PDF]
, 2023 Text-based style transfer is a newly-emerging research topic that uses text information instead of style image to guide the transfer process, significantly extending the application scenario of style transfer. However, previous methods require extra time
Liu, Jiayue +3 more
core
Language-Driven Image Style Transfer [PDF]
, 2022 Despite having promising results, style transfer, which requires preparing style images in advance, may result in lack of creativity and accessibility.
Wang, William Yang +2 more
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Meta Network for Flow-Based Image Style Transfer
A style transfer aims to produce synthesized images that retain the content of one image while adopting the artistic style of another. Traditional style transfer methods often require training separate transformation networks for each new style, limiting
Tsai, Yihjia;Lin, Hsiau-Wen;Chen, Chii-Jen;Lin, Hwei-Jen;Yu, Chen-Hsiang
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A non-definitive auto-transfer mechanism for arbitrary style transfers
, 2023 In recent years, image style transfers have increasingly become a hot research topic in the field of computer vision. The existing CNN-based style transfer methods have been the basis of a substantial amount of research in the content–style fusion area ...
Yu, Xin +6 more
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StyTr 2 : Image Style Transfer with Transformers
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted by CVPR ...
Yingying Deng +6 more
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Image Synthesis and Style Transfer
CoRR, 2019 Affine transformation, layer blending, and artistic filters are popular processes that graphic designers employ to transform pixels of an image to create a desired effect. Here, we examine various approaches that synthesize new images: pixel-based compositing models and in particular, distributed representations of deep neural network models.
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An Overview of Color Transfer and Style Transfer for Images and Videos
CoRR, 2022 12 pages, 13 ...
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, 2019 Most of the existing image steganographic approaches embed the secret information imperceptibly into a cover image by slightly modifying its content.
Qili Zhou +11 more
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