Results 31 to 40 of about 5,049,293 (271)
Neural style transfer for 3D meshes
Graphical Models, 2023 Style transfer is a popular research topic in the field of computer vision. In 3D stylization, a mesh model is deformed to achieve a specific geometric style.
Hongyuan Kang +3 more
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Deep Correlation Multimodal Neural Style Transfer
IEEE Access, 2021 Style transfer is a well-known approach used to transfer the art style of a style image to an input content image, and the core method of the style transfer is to use the Gram matrix for representing the style features of images.
Nguyen Quang Tuyen +3 more
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CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer [PDF]
European Conference on Computer Vision, 2022 In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style transfer jointly, without seeing videos during training.
Zijie Wu +3 more
semanticscholar +1 more source
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields [PDF]
Computer Vision and Pattern Recognition, 2023 3D style transfer aims to render stylized novel views of a 3D scene with multiview consistency. However, most existing work suffers from a three-way dilemma over accurate geometry reconstruction, high-quality stylization, and being generalizable to ...
Kunhao Liu +7 more
semanticscholar +1 more source
Photographic style transfer [PDF]
The Visual Computer, 2018 © 2018, The Author(s). Image style transfer has attracted much attention in recent years. However, results produced by existing works still have lots of distortions. This paper investigates the CNN-based artistic style transfer work specifically and finds out the key reasons for distortion coming from twofold: the loss of spatial structures of content ...
Wang, Li +4 more
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Neural Style Transfer: A Review [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2020 The seminal work of Gatys et al. demonstrated the power of Convolutional Neural Networks (CNNs) in creating artistic imagery by separating and recombining image content and style. This process of using CNNs to render a content image in different styles is referred to as Neural Style Transfer (NST).
Yongcheng Jing +5 more
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Research on the Local Style Transfer of Clothing Images by CycleGANBased on Attention Mechanism [PDF]
Jisuanji gongcheng, 2021 For the clothing images with complex backgrounds,it is difficult to control the style transfer in local areas of the images,and boundary artifacts are easily generated in this process.To address the problem,a CycleGAN-based method using attention ...
CHEN Jia, DONG Xueliang, LIANG Jinxing, HE Ruhan
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Exemplar-Based Portrait Style Transfer
IEEE Access, 2018 Transferring the style of an example image to a content image opens the door of artistic creation for end users. However, it is especially challenging for portrait photos since human vision system is sensitive to the slight artifacts on portraits ...
Ming Lu +5 more
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StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting [PDF]
SIGGRAPH Asia Technical CommunicationsWe introduce StyleGaussian, a novel 3D style transfer technique that allows instant transfer of any image’s style to a 3D radiance field at 10 frames per second (fps). Leveraging 3D Gaussian Splatting (3DGS), StyleGaussian achieves style transfer without
Kunhao Liu +5 more
semanticscholar +1 more source
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer [PDF]
Computer Vision and Pattern Recognition, 2023 Content affinity loss including feature and pixel affinity is a main problem which leads to artifacts in photorealistic and video style transfer. This paper proposes a new framework named CAP-VSTNet, which consists of a new reversible residual network ...
Linfeng Wen, Chengying Gao, C. Zou
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