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Image style transfer learning for style‐strength control [PDF]
Electronics Letters, 2019 Image style transferring is a process of generating an output image in a target style from a given pair of content and target style images. Recently, a simple linear interpolation technique in encoded feature space has been employed in this process to generate output images of intermediate style because controlling the strength of style transferring ...
H.C. Choi, M.S. Kim
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Neural Stereoscopic Image Style Transfer [PDF]
, 2018 Neural style transfer is an emerging technique which is able to endow daily-life images with attractive artistic styles. Previous work has succeeded in applying convolutional neural networks (CNNs) to style transfer for monocular images or videos. However, style transfer for stereoscopic images is still a missing piece.
Gong, Xinyu +5 more
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, 2018 Recent fast image style transferring methods use feed-forward neural networks to generate an output image of desired style strength from the input pair of a content and a target style image. In the existing methods, the image of intermediate style between the content and the target style is obtained by decoding a linearly interpolated feature in ...
Choi, Hyun-Chul, Kim, Minseong
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Fusion Image Style Transfer Network
Journal of Physics: Conference Series, 2019 Abstract Generating art automatically and quickly for machines is always a difficult task. The existing image style migration algorithms can realize the rapid generation of art images. However, these algorithms can only generate artistic images by migrating existing content maps, and can not modify the content of images artificially ...
Shuren Lai +3 more
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EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer
, 2019 Style transfer has been an important topic both in computer vision and graphics. Since the seminal work of Gatys et al. first demonstrates the power of stylization through optimization in the deep feature space, quite a few approaches have achieved real ...
Gong, Minglun +4 more
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Mathematics, 2023 In the rapidly emerging era of untact (“contact-free”) technologies, the requirement for three-dimensional (3D) virtual environments utilized in virtual reality (VR)/augmented reality (AR) and the metaverse has seen significant growth, owing to their ...
Jisun Park, Kyungeun Cho
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, 2017 This paper introduces a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style.
Bala, Kavita +3 more
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Reversing Image Signal Processors by Reverse Style Transferring
, 2023 11 pages, 3 ...
Furkan Kınlı +2 more
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Frontiers in Neuroscience, 2022 Artificial intelligence has emerged as a powerful computational tool to create artworks. One application is Neural Style Transfer, which allows to transfer the style of one image, such as a painting, onto the content of another image, such as a ...
Hannah Alexa Geller +3 more
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Laplacian-Steered Neural Style Transfer
, 2017 Neural Style Transfer based on Convolutional Neural Networks (CNN) aims to synthesize a new image that retains the high-level structure of a content image, rendered in the low-level texture of a style image. This is achieved by constraining the new image
Alexei +5 more
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