Zhang, W.[Wei],
Cao, C.[Chen],
Chen, S.F.[Shi-Feng],
Liu, J.Z.[Jian-Zhuang],
Tang, X.[Xiaoou],
Style Transfer Via Image Component Analysis,
MultMed(15), No. 7, 2013, pp. 1594-1601.
IEEE DOI
1312
Markov processes.
Artistic effects for images and videos.
BibRef
Han, Z.Z.[Zhi-Zhong],
Liu, Z.B.[Zhen-Bao],
Han, J.W.[Jun-Wei],
Bu, S.H.[Shu-Hui],
3D shape creation by style transfer,
VC(31), No. 9, September 2015, pp. 1147-1161.
Springer DOI
1508
3D shape models.
BibRef
Lo, K.H.,
Wang, Y.C.F.,
Hua, K.L.,
Example-Based Image Textural Style Transfer,
MultMedMag(23), No. 4, October 2016, pp. 60-66.
IEEE DOI
1612
image representation
BibRef
Elad, M.[Michael],
Milanfar, P.[Peyman],
Style Transfer Via Texture Synthesis,
IP(26), No. 5, May 2017, pp. 2338-2351.
IEEE DOI
1704
Clustering algorithms
BibRef
Kang, D.[Dongwann],
Tian, F.[Feng],
Seo, S.[Sanghyun],
Perceptually inspired real-time artistic style transfer for video
stream,
RealTimeIP(13), No. 3, September 2017, pp. 581-589.
WWW Link.
1710
BibRef
Liu, J.,
Yang, W.,
Sun, X.,
Zeng, W.,
Photo Stylistic Brush: Robust Style Transfer via Superpixel-Based
Bipartite Graph,
MultMed(20), No. 7, July 2018, pp. 1724-1737.
IEEE DOI
1806
Bipartite graph, Brushes, Feature extraction, Image color analysis,
Painting, Robustness, Visual effects, Image stylization,
superpixel
BibRef
Ruder, M.[Manuel],
Dosovitskiy, A.[Alexey],
Brox, T.[Thomas],
Artistic Style Transfer for Videos and Spherical Images,
IJCV(126), No. 11, November 2018, pp. 1199-1219.
Springer DOI
1809
BibRef
Earlier:
Artistic Style Transfer for Videos,
GCPR16(26-36).
Springer DOI
1611
Award, GCPR, HM.
BibRef
Badea, M.[Mihai],
Florea, C.[Corneliu],
Florea, L.[Laura],
Vertan, C.[Constantin],
Can we teach computers to understand art? Domain adaptation for
enhancing deep networks capacity to de-abstract art,
IVC(77), 2018, pp. 21-32.
Elsevier DOI
1809
Convolutional Neural Networks, Domain adaptation,
Genre recognition, Painting analysis, Style transfer
BibRef
Lian, G.[Guanyu],
Zhang, K.[Kang],
Transformation of portraits to Picasso's cubism style,
VC(36), No. 4, April 2020, pp. 799-807.
WWW Link.
2004
BibRef
Vo, D.M.[Duc Minh],
Sugimoto, A.[Akihiro],
Two-stream FCNs to balance content and style for style transfer,
MVA(31), No. 5, July 2020, pp. Article37.
WWW Link.
2006
BibRef
Vo, D.M.[Duc Minh],
Le, T.N.[Trung-Nghia],
Sugimoto, A.[Akihiro],
Balancing Content and Style with Two-Stream FCNs for Style Transfer,
WACV18(1350-1358)
IEEE DOI
1806
computer vision, convolution, feature extraction,
feedforward neural nets, learning (artificial intelligence),
BibRef
Cheng, M.M.[Ming-Ming],
Liu, X.C.[Xiao-Chang],
Wang, J.[Jie],
Lu, S.P.[Shao-Ping],
Lai, Y.K.[Yu-Kun],
Rosin, P.L.[Paul L.],
Structure-Preserving Neural Style Transfer,
IP(29), No. 1, 2020, pp. 909-920.
IEEE DOI
1910
Image representation, Loss measurement, Optimization,
Feature extraction, Image edge detection, Training, Visualization,
global structure
BibRef
Zhu, A.,
Lu, X.,
Bai, X.,
Uchida, S.,
Iwana, B.K.,
Xiong, S.,
Few-Shot Text Style Transfer via Deep Feature Similarity,
IP(29), 2020, pp. 6932-6946.
IEEE DOI
2007
Feature extraction, Rendering (computer graphics),
Image color analysis, discriminative network
BibRef
Li, R.,
Wu, C.H.,
Liu, S.,
Wang, J.,
Wang, G.,
Liu, G.,
Zeng, B.,
SDP-GAN: Saliency Detail Preservation Generative Adversarial Networks
for High Perceptual Quality Style Transfer,
IP(30), 2021, pp. 374-385.
IEEE DOI
2012
Generators, Generative adversarial networks,
Task analysis, Streaming media, Saliency detection,
detail preservation
BibRef
Li, G.Z.[Guan-Zhao],
Zhang, J.W.[Jian-Wei],
Chen, D.N.[Dan-Ni],
F2PNet: Font-to-painting translation by adversarial learning,
IET-IPR(14), No. 13, November 2020, pp. 3243-3253.
DOI Link
2012
For Chinese font images, when all their strokes are replaced by
pattern elements such as flowers and birds, they become flower–bird
character paintings.
BibRef
Wang, Z.Z.[Zhi-Zhong],
Zhao, L.[Lei],
Lin, S.[Sihuan],
Mo, Q.[Qihang],
Zhang, H.[Huiming],
Xing, W.[Wei],
Lu, D.M.[Dong-Ming],
GLStyleNet: exquisite style transfer combining global and local pyramid
features,
IET-CV(14), No. 8, December 2020, pp. 575-586.
DOI Link
2012
BibRef
Wang, Z.Z.[Zhi-Zhong],
Zhao, L.[Lei],
Chen, H.B.[Hai-Bo],
Zuo, Z.W.[Zhi-Wen],
Li, A.[Ailin],
Xing, W.[Wei],
Lu, D.M.[Dong-Ming],
Evaluate and improve the quality of neural style transfer,
CVIU(207), 2021, pp. 103203.
Elsevier DOI
2105
Image style transfer, Quantitative evaluation,
Cascade style transfer, Multi-objective network
BibRef
Xu, K.,
Wen, L.,
Li, G.,
Qi, H.,
Bo, L.,
Huang, Q.,
Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer,
IP(30), 2021, pp. 2501-2512.
IEEE DOI
2102
Training, Spatiotemporal phenomena, Streaming media,
Feature extraction, Testing,
self-supervised
BibRef
Qiao, Y.,
Cui, J.,
Huang, F.,
Liu, H.,
Bao, C.,
Li, X.,
Efficient Style-Corpus Constrained Learning for Photorealistic Style
Transfer,
IP(30), 2021, pp. 3154-3166.
IEEE DOI
2103
Transforms, Training, Rendering (computer graphics),
Knowledge engineering, Computer science, Computational modeling,
style-corpus
BibRef
Zabaleta, I.[Itziar],
Bertalmío, M.[Marcelo],
Photorealistic style transfer for video,
SP:IC(95), 2021, pp. 116240.
Elsevier DOI
2106
Image processing, Computational photography, Style transfer
BibRef
Chen, D.D.[Dong-Dong],
Yuan, L.[Lu],
Liao, J.[Jing],
Yu, N.H.[Neng-Hai],
Hua, G.[Gang],
Explicit Filterbank Learning for Neural Image Style Transfer and
Image Processing,
PAMI(43), No. 7, July 2021, pp. 2373-2387.
IEEE DOI
2106
BibRef
Earlier: A1, A3, A2, A4, A5:
Coherent Online Video Style Transfer,
ICCV17(1114-1123)
IEEE DOI
1802
BibRef
Earlier: A1, A2, A3, A4, A5:
StyleBank: An Explicit Representation for Neural Image Style Transfer,
CVPR17(2770-2779)
IEEE DOI
1711
Task analysis, Convolution, Decoding, Neural networks,
Feature extraction, Fuses, Image processing and computer vision,
style transfer.
image sequences, neural nets, optimisation,
video signal processing, coherent online video style transfer,
Video sequences.
Convolution, Decoding, Kernel, Network architecture, Neural networks, Training
BibRef
Virtusio, J.J.[John Jethro],
Ople, J.J.M.[Jose Jaena Mari],
Tan, D.S.[Daniel Stanley],
Tanveer, M.,
Kumar, N.[Neeraj],
Hua, K.L.[Kai-Lung],
Neural Style Palette: A Multimodal and Interactive Style Transfer
From a Single Style Image,
MultMed(23), 2021, pp. 2245-2258.
IEEE DOI
2108
Image color analysis, Feature extraction, Visualization,
Space exploration, Task analysis, User interfaces, Training, Anchor Styles
BibRef
Cheng, J.[Jikang],
Han, Z.[Zhen],
Wang, Z.Y.[Zhong-Yuan],
Chen, L.[Liang],
'One-Shot' Super-Resolution via Backward Style Transfer for Fast
High-Resolution Style Transfer,
SPLetters(28), 2021, pp. 1485-1489.
IEEE DOI
2108
Image restoration, Visualization, Superresolution, Optimization,
Training, Signal processing algorithms, Signal resolution,
super-resolution
BibRef
Chang, J.R.[Jia-Ren],
Chen, Y.S.[Yong-Sheng],
Exploiting Spatial Relation for Reducing Distortion in Style Transfer,
WACV21(1208-1216)
IEEE DOI
2106
Image segmentation, Visualization,
Network architecture, Distortion, Data mining
BibRef
Hada, S.S.[Suryabhan Singh],
Carreira-Perpiñán, M.Á.[Miguel Á.],
Style Transfer by Rigid Alignment in Neural Net Feature Space,
WACV21(2575-2584)
IEEE DOI
2106
Training, Visualization, Pipelines, Neural networks, Computer architecture
BibRef
An, J.[Jie],
Chen, T.L.[Tian-Lang],
Zhang, S.Y.[Song-Yang],
Luo, J.B.[Jie-Bo],
Global Image Sentiment Transfer,
ICPR21(6267-6274)
IEEE DOI
2105
Image retrieval, Computer architecture,
Feature extraction, Loss measurement, Indexes
BibRef
Kawakami, S.[Sota],
Okada, K.[Kei],
Nitta, N.[Naoko],
Nakamura, K.[Kazuaki],
Babaguchi, N.[Noboru],
Semi-Supervised Outdoor Image Generation Conditioned on Weather
Signals,
ICPR21(4268-4275)
IEEE DOI
2105
Add weather to the image.
Training, Temperature sensors, Image sensors, Web services,
Semantics, Training data, Cameras
BibRef
Cho, J.[Jaehyeong],
Shimoda, W.[Wataru],
Yanai, K.[Keiji],
Mask-based Style-Controlled Image Synthesis Using a Mask Style
Encoder,
ICPR21(5176-5183)
IEEE DOI
2105
Image segmentation, Image synthesis, Semantics, Feature extraction,
Generative adversarial networks, Task analysis
BibRef
Zhang, T.[Tiange],
Gao, Y.[Ying],
Gao, F.[Feng],
Qi, L.[Lin],
Dong, J.Y.[Jun-Yu],
Arbitrary Style Transfer with Parallel Self-Attention,
ICPR21(1406-1413)
IEEE DOI
2105
Laplace equations, Real-time systems,
style transfer, attention mechanism, instance normalization, laplacian matrix
BibRef
Batziou, E.[Elissavet],
Alvanitopoulos, P.[Petros],
Ioannidis, K.[Konstantinos],
Patras, I.[Ioannis],
Vrochidis, S.[Stefanos],
Kompatsiaris, I.[Ioannis],
Cycle-Consistent Adversarial Networks and Fast Adaptive
Bi-dimensional Empirical Mode Decomposition for Style Transfer,
ICPR21(2360-2367)
IEEE DOI
2105
Empirical mode decomposition, Adaptive systems, Estimation,
Loss measurement, Pattern recognition, Image reconstruction
BibRef
Guo, B.Q.[Bing-Qing],
Hao, P.W.[Peng-Wei],
Interactive Style Space of Deep Features and Style Innovation,
ICPR21(3520-3527)
IEEE DOI
2105
Manifolds, Interpolation, Visualization, Technological innovation,
Art, Neural networks, Aerospace electronics
BibRef
Ngô, L.M.[Lê Minh],
aan de Wiel, C.[Christian],
Karaoglu, S.[Sezer],
Gevers, T.[Theo],
Unified Application of Style Transfer for Face Swapping and Reenactment,
ACCV20(V:241-257).
Springer DOI
2103
BibRef
Uzpak, A.,
Djelouah, A.,
Schaub-Meyer, S.,
Style Transfer for Keypoint Matching Under Adverse Conditions,
3DV20(1089-1097)
IEEE DOI
2102
Feature extraction, Location awareness, Computational modeling,
Semantics, Visualization, Training data,
localization
BibRef
Zhu, Y.,
Niu, Y.,
Li, F.,
Zou, C.,
Shi, G.,
Channel-Grouping Based Patch Swap For Arbitrary Style Transfer,
ICIP20(613-617)
IEEE DOI
2011
Feature extraction, Measurement, Surface texture,
Active appearance model, Semantics, Integrated circuits, texture synthesis
BibRef
Jung, D.,
Yang, S.,
Choi, J.,
Kim, C.,
Arbitrary Style Transfer Using Graph Instance Normalization,
ICIP20(1596-1600)
IEEE DOI
2011
Standards, Task analysis, Training, Smoothing methods, Correlation,
Convolution, Statistical analysis, style transfer, normalization,
graph convolutional networks
BibRef
Chiu, T.Y.[Tai-Yin],
Gurari, D.[Danna],
Iterative Feature Transformation for Fast and Versatile Universal Style
Transfer,
ECCV20(XIX:169-184).
Springer DOI
2011
BibRef
Kim, S.S.Y.[Sunnie S. Y.],
Kolkin, N.[Nicholas],
Salavon, J.[Jason],
Shakhnarovich, G.[Gregory],
Deformable Style Transfer,
ECCV20(XXVI:246-261).
Springer DOI
2011
BibRef
Wang, Z.,
Zhao, L.,
Chen, H.,
Qiu, L.,
Mo, Q.,
Lin, S.,
Xing, W.,
Lu, D.,
Diversified Arbitrary Style Transfer via Deep Feature Perturbation,
CVPR20(7786-7795)
IEEE DOI
2008
Feature extraction, Transforms, Perturbation methods,
Matrix decomposition, Scalability, Task analysis, Correlation
BibRef
Chen, H.,
Fang, I.,
Cheng, C.,
Chiu, W.,
Self-Contained Stylization via Steganography for Reverse and Serial
Style Transfer,
WACV20(2152-2160)
IEEE DOI
2006
Feature extraction, Adaptation models, Training,
Social network services, Integrated circuit modeling,
Machine learning
BibRef
Cao, X.,
Wang, W.,
Nagao, K.,
Nakamura, R.,
PSNet: A Style Transfer Network for Point Cloud Stylization on
Geometry and Color,
WACV20(3326-3334)
IEEE DOI
2006
Feature extraction,
Image color analysis, Geometry, Neural networks, Color, Task analysis
BibRef
Chen, Z.,
Chen, L.,
Zhao, Z.,
Wang, Y.,
AI Illustrator: Art Illustration Generation Based on Generative
Adversarial Network,
ICIVC20(155-159)
IEEE DOI
2009
Generators, Feature extraction, Image generation,
Image reconstruction, Art, Computational modeling,
style transfer
BibRef
Yao, Y.[Yuan],
Ren, J.Q.[Jian-Qiang],
Xie, X.S.[Xuan-Song],
Liu, W.D.[Wei-Dong],
Liu, Y.J.[Yong-Jin],
Wang, J.[Jun],
Attention-Aware Multi-Stroke Style Transfer,
CVPR19(1467-1475).
IEEE DOI
2002
BibRef
Kitov, V.[Victor],
Real-Time Style Transfer with Strength Control,
CAIP19(II:206-218).
Springer DOI
1909
BibRef
Bae, K.M.[Kang Min],
Ma, M.[Minuk],
Jang, H.J.[Hyun-Jun],
Ju, M.J.[Min-Jeong],
Park, H.[Hyoungwoo],
Yoo, C.D.[Chang D.],
ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for
Transferring Style with Core Structures in Content Preserved,
ACCV18(II:447-462).
Springer DOI
1906
BibRef
Siarohin, A.[Aliaksandr],
Zen, G.[Gloria],
Sebe, N.[Nicu],
Ricci, E.[Elisa],
Enhancing Perceptual Attributes with Bayesian Style Generation,
ACCV18(I:483-498).
Springer DOI
1906
BibRef
Gao, C.[Chang],
Gu, D.[Derun],
Zhang, F.J.[Fang-Jun],
Yu, Y.Z.[Yi-Zhou],
ReCoNet: Real-Time Coherent Video Style Transfer Network,
ACCV18(VI:637-653).
Springer DOI
1906
BibRef
Thomas, C.[Christopher],
Kovashka, A.[Adriana],
Artistic Object Recognition by Unsupervised Style Adaptation,
ACCV18(III:460-476).
Springer DOI
1906
BibRef
Li, B.[Bo],
Xiong, C.[Caiming],
Wu, T.F.[Tian-Fu],
Zhou, Y.[Yu],
Zhang, L.[Lun],
Chu, R.[Rufeng],
Neural Abstract Style Transfer for Chinese Traditional Painting,
ACCV18(II:212-227).
Springer DOI
1906
BibRef
Xing, Y.,
Li, J.,
Dai, T.,
Tang, Q.,
Niu, L.,
Xia, S.,
Portrait-Aware Artistic Style Transfer,
ICIP18(2117-2121)
IEEE DOI
1809
Image segmentation, Semantics, Image generation,
Feature extraction, Distortion, Image color analysis, Correlation,
Semantic Segmentation
BibRef
Makarov, I.[Ilya],
Polonskaya, D.[Diana],
Feygina, A.[Anastasia],
Improving Picture Quality with Photo-Realistic Style Transfer,
ICIAR18(47-55).
Springer DOI
1807
BibRef
Zhang, H.[Hang],
Dana, K.[Kristin],
Multi-style Generative Network for Real-Time Transfer,
CEFR-LCV18(IV:349-365).
Springer DOI
1905
Style transfer.
BibRef
Jing, Y.C.[Yong-Cheng],
Liu, Y.[Yang],
Yang, Y.Z.[Ye-Zhou],
Feng, Z.L.[Zun-Lei],
Yu, Y.Z.[Yi-Zhou],
Tao, D.C.[Da-Cheng],
Song, M.L.[Ming-Li],
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,
ECCV18(XIII: 244-260).
Springer DOI
1810
BibRef
Gatys, L.A.,
Ecker, A.S.,
Bethge, M.,
Hertzmann, A.,
Shechtman, E.,
Controlling Perceptual Factors in Neural Style Transfer,
CVPR17(3730-3738)
IEEE DOI
1711
Image color analysis, Neurons,
Painting, Rendering (computer graphics), Shape
BibRef
Luan, F.,
Paris, S.,
Shechtman, E.,
Bala, K.,
Deep Photo Style Transfer,
CVPR17(6997-7005)
IEEE DOI
1711
Buildings, Distortion, Image color analysis, Image segmentation,
Meteorology, Painting, Semantics
BibRef
Wang, X.,
Oxholm, G.,
Zhang, D.,
Wang, Y.F.,
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network
for Fast Artistic Style Transfer,
CVPR17(7178-7186)
IEEE DOI
1711
Biological neural networks, Computer architecture,
Image color analysis, Optimization, Training
BibRef
Huang, H.Z.[Hao-Zhi],
Wang, H.[Hao],
Luo, W.H.[Wen-Han],
Ma, L.[Lin],
Jiang, W.H.[Wen-Hao],
Zhu, X.L.[Xiao-Long],
Li, Z.F.[Zhi-Feng],
Liu, W.[Wei],
Real-Time Neural Style Transfer for Videos,
CVPR17(7044-7052)
IEEE DOI
1711
Optical imaging, Optical losses, Optimization, Real-time systems,
Training, Videos
BibRef
Dushkoff, M.,
McLaughlin, R.,
Ptucha, R.,
A temporally coherent neural algorithm for artistic style transfer,
ICPR16(3288-3293)
IEEE DOI
1705
Adaptive optics, Animation, Jitter, Nonlinear optics,
Optical imaging, Spatiotemporal phenomena, Videos
BibRef
Tanno, R.[Ryosuke],
Matsuo, S.[Shin],
Shimoda, W.[Wataru],
Yanai, K.[Keiji],
DeepStyleCam: A Real-Time Style Transfer App on iOS,
MMMod17(II: 446-449).
Springer DOI
1701
BibRef
Gatys, L.A.,
Ecker, A.S.,
Bethge, M.,
Image Style Transfer Using Convolutional Neural Networks,
CVPR16(2414-2423)
IEEE DOI
1612
BibRef
Becattini, F.[Federico],
Ferracani, A.[Andrea],
Landucci, L.[Lea],
Pezzatini, D.[Daniele],
Uricchioo, T.[Tiberio],
del Bimbo, A.[Alberto],
Imaging Novecento. A Mobile App for Automatic Recognition of Artworks
and Transfer of Artistic Styles,
EuroMed16(I: 781-791).
Springer DOI
1611
BibRef
Huang, F.[Fay],
Wu, B.H.[Bo-Hui],
Huang, B.R.[Bo-Ru],
Synthesis of Oil-Style Paintings,
PSIVT15(15-26).
Springer DOI
1602
BibRef
Zeng, K.[Kun],
Zhang, R.[Ruimao],
Lan, X.D.[Xiao-Dan],
Pan, Y.[Yan],
Lin, L.[Liang],
Color style transfer by constraint locally linear embedding,
ICIP11(1121-1124).
IEEE DOI
1201
BibRef
Zhang, X.Y.[Xiao-Yan],
Constable, M.,
He, Y.[Ying],
On the Transfer of Painting Style to Photographic Images through
Attention to Colour Contrast,
PSIVT10(414-421).
IEEE DOI
1011
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Image to Image Translation .