11.14.3.10.3 Style Transfer

Chapter Contents (Back)
Style Transfer.
See also Image to Image Translation.

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


Mastan, I.D.[Indra Deep], Raman, S.[Shanmuganathan],
DeepObjStyle: Deep Object-based Photo Style Transfer,
NTIRE21(711-719)
IEEE DOI 2109
Training, Visualization, Semantics, Tag clouds, Quality assessment 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 .


Last update:Oct 16, 2021 at 11:54:21