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Fast Neural Style Transfer for Motion Data [PDF]
IEEE Computer Graphics and Applications, 2017 We present a fast, efficient technique for performing neural style transfer of human motion data using a feedforward neural network. Typically feedforward neural networks are trained in a supervised fashion - both specifying the input and desired output ...
Daniel Holden, Ikuo Kusajima
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Controlling Perceptual Factors in Neural Style Transfer
, 2017 Neural Style Transfer has shown very exciting results enabling new forms of image manipulation. Here we extend the existing method to introduce control over spatial location, colour information and across spatial scale.
Aaron Hertzmann +2 more
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Lagrangian Neural Style Transfer for Fluids
ACM Transactions on Graphics, 2020Barbara Solenthaler +2 more
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Context-Aware Style Learning and Content Recovery Networks for Neural Style Transfer
Information Processing and Management, 2023Yanning Zhang, Lianwei Wu
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Explicit Filterbank Learning for Neural Image Style Transfer and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Jing Liao, Lu Yuan, Gang Hua
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Neural Style Transfer: A Review
IEEE Transactions on Visualization and Computer Graphics, 2020Jingwen Ye, Zunlei Feng, Yongcheng Jing
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Different Techniques in Neural Style Transfer-A Review
Lecture Notes in Networks and Systems, 2022Usha Mittal, Pooja Pooja
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Portrait Style Transfer Using Deep Convolutional Neural Networks and Facial Segmentation
Computers and Electrical Engineering, 2020Xiaofang Yuan, Huihuang Zhao, Yuhua Li
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