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.W.[Dong-Wann], 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
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.H.[Qi-Hang], Zhang, H.M.[Hui-Ming], 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 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

Zhou, W.[Wei], Chen, S.B.[Si-Bao], Xu, L.X.[Li-Xiang], Luo, B.[Bin],
Multi-ColorGAN: Few-shot vehicle recoloring via memory-augmented networks,
JVCIR(80), 2021, pp. 103317.
Elsevier DOI 2110
Memory-augmented network, Generative adversarial network, Image recoloring, Vehicle recoloring, Few-shot learning BibRef

Yamashita, R.[Rikiya], Long, J.[Jin], Banda, S.[Snikitha], Shen, J.[Jeanne], Rubin, D.L.[Daniel L.],
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation,
MedImg(40), No. 12, December 2021, pp. 3945-3954.
IEEE DOI 2112
Biomedical imaging, Histopathology, Task analysis, Painting, Data models, Visualization, Computational modeling, style transfer BibRef

Pan, X.D.[Xu-Dong], Zhang, M.[Mi], Ding, D.[Daizong], Yang, M.[Min],
A Geometrical Perspective on Image Style Transfer With Adversarial Learning,
PAMI(44), No. 1, January 2022, pp. 63-75.
IEEE DOI 2112
Manifolds, Task analysis, Generators, Face, Geometry, Analytical models, Generative adversarial learning, machine learning BibRef

Wang, L.[Li], Wang, L.[Lidan], Chen, S.[Shubai],
ESA-CycleGAN: Edge feature and self-attention based cycle-consistent generative adversarial network for style transfer,
IET-IPR(16), No. 1, 2022, pp. 176-190.
DOI Link 2112
BibRef

Ye, W.J.[Wu-Jian], Zhu, X.[Xueke], Xu, Z.T.[Zuo-Teng], Liu, Y.J.[Yi-Jun], Chang, C.C.[Chin-Chen],
A comprehensive framework of multiple semantics preservation in neural style transfer,
JVCIR(82), 2022, pp. 103378.
Elsevier DOI 2201
Neural style transfer, Multiple semantic preservation, Comprehensive framework, Stylized artistic quality BibRef

Petersen, F.[Felix], Goldluecke, B.[Bastian], Deussen, O.[Oliver], Kuehne, H.[Hilde],
Style Agnostic 3D Reconstruction via Adversarial Style Transfer,
WACV22(2273-2282)
IEEE DOI 2202
Geometry, Training, Visualization, Pipelines, Reconstruction algorithms, 3D Computer Vision Differentiable Rendering BibRef

Liao, Y.S.[Yi-Sheng], Huang, C.R.[Chun-Rong],
Semantic Context-Aware Image Style Transfer,
IP(31), 2022, pp. 1911-1923.
IEEE DOI 2202
Semantics, Optimization, Network architecture, Image edge detection, Image color analysis, Decoding, deep learning BibRef

Gao, Y.[Ying], Feng, X.H.[Xiao-Han], Zhang, T.[Tiange], Rigall, E.[Eric], Zhou, H.Y.[Hui-Yu], Qi, L.[Lin], Dong, J.Y.[Jun-Yu],
Wallpaper Texture Generation and Style Transfer Based on Multi-Label Semantics,
CirSysVideo(32), No. 3, March 2022, pp. 1552-1563.
IEEE DOI 2203
Semantics, Generative adversarial networks, Training, Task analysis, Image color analysis, Generators, style transfer BibRef

Liu, S.G.[Shi-Guang], Zhu, T.[Ting],
Structure-Guided Arbitrary Style Transfer for Artistic Image and Video,
MultMed(24), 2022, pp. 1299-1312.
IEEE DOI 2204
Image edge detection, Feature extraction, Distortion, Visualization, Optimization, Graphical models, structure-guided BibRef

Li, J.[Jie], Wu, L.[Liwen], Xu, D.[Dan], Yao, S.W.[Shao-Wen],
Arbitrary Style Transfer with Attentional Networks Via Unbalanced Optimal Transport,
IET-IPR(16), No. 7, 2022, pp. 1778-1792.
DOI Link 2205
BibRef

Mallika, Ubhi, J.S.[Jagpal Singh], Aggarwal, A.K.[Ashwani Kumar],
Neural Style Transfer for image within images and conditional GANs for destylization,
JVCIR(85), 2022, pp. 103483.
Elsevier DOI 2205
Image security, Convolutional neural network, Information hiding, StegoExpose, Steganography BibRef

Zhou, Z.[Zheng], Wu, Y.[Yue], Yang, X.F.[Xiao-Fei], Zhou, Y.C.[Yi-Cong],
Neural Style Transfer With Adaptive Auto-Correlation Alignment Loss,
SPLetters(29), 2022, pp. 1027-1031.
IEEE DOI 2205
Feature extraction, Adaptation models, Training, Periodic structures, Transforms, Testing, Measurement, adaptive periodicity BibRef

Huo, J.[Jing], Liu, X.[Xiangde], Li, W.B.[Wen-Bin], Gao, Y.[Yang], Yin, H.J.[Hu-Jun], Luo, J.B.[Jie-Bo],
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation,
IP(31), 2022, pp. 3347-3358.
IEEE DOI 2205
Shape, Semantics, Faces, Covariance matrices, Task analysis, Generative adversarial networks, Face recognition, semantic alignment BibRef

Gu, Z.[Zheng], Dong, C.Q.[Chuan-Qi], Huo, J.[Jing], Li, W.B.[Wen-Bin], Gao, Y.[Yang],
CariMe: Unpaired Caricature Generation With Multiple Exaggerations,
MultMed(24), 2022, pp. 2673-2686.
IEEE DOI 2205
Strain, Decoding, Faces, Deformable models, Visualization, Task analysis, Transforms, Caricature Generation, Style Transfer BibRef


Wang, Y.Z.[Yu-Zhuo], Geng, Y.L.[Yan-Lin],
Arbitrary Style Transfer with Adaptive Channel Network,
MMMod22(I:481-492).
Springer DOI 2203
BibRef

Huang, H.P.[Hsin-Ping], Tseng, H.Y.[Hung-Yu], Saini, S.[Saurabh], Singh, M.[Maneesh], Yang, M.H.[Ming-Hsuan],
Learning to Stylize Novel Views,
ICCV21(13849-13858)
IEEE DOI 2203
Point cloud compression, Image and video synthesis, Computational photography BibRef

Alaluf, Y.[Yuval], Patashnik, O.[Or], Cohen-Or, D.[Daniel],
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement,
ICCV21(6691-6700)
IEEE DOI 2203
Training, Codes, Image synthesis, Semantics, Generative adversarial networks, Robustness, Iterative methods, Vision applications and systems BibRef

Chen, Y.[Yang], Wang, Y.[Yu], Pan, Y.W.[Ying-Wei], Yao, T.[Ting], Tian, X.M.[Xin-Mei], Mei, T.[Tao],
A Style and Semantic Memory Mechanism for Domain Generalization*,
ICCV21(9144-9153)
IEEE DOI 2203
Training, Graphical models, Semantics, Memory management, Benchmark testing, Probabilistic logic, BibRef

Yin, K.X.[Kang-Xue], Gao, J.[Jun], Shugrina, M.[Maria], Khamis, S.[Sameh], Fidler, S.[Sanja],
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations,
ICCV21(12436-12445)
IEEE DOI 2203
Geometry, Training, Shape, Statistical analysis, Rendering (computer graphics), Vision applications and systems BibRef

Kwon, G.[Gihyun], Ye, J.C.[Jong Chul],
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation,
ICCV21(13960-13969)
IEEE DOI 2203
Image synthesis, Generators, Task analysis, Image and video synthesis, Faces, Neural generative models BibRef

Hong, K.[Kibeom], Jeon, S.[Seogkyu], Yang, H.[Huan], Fu, J.L.[Jian-Long], Byun, H.R.[Hye-Ran],
Domain-Aware Universal Style Transfer,
ICCV21(14589-14597)
IEEE DOI 2203
Measurement, Adaptation models, Codes, Computer architecture, Image and video synthesis, BibRef

Wu, X.L.[Xiao-Lei], Hu, Z.H.[Zhi-Hao], Sheng, L.[Lu], Xu, D.[Dong],
StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition,
ICCV21(14598-14607)
IEEE DOI 2203
Semantics, Modulation, Transformers, Feature extraction, Real-time systems, Image and video synthesis, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Gu, Z.[Zheng], Li, W.B.[Wen-Bin], Huo, J.[Jing], Wang, L.[Lei], Gao, Y.[Yang],
LoFGAN: Fusing Local Representations for Few-shot Image Generation,
ICCV21(8443-8451)
IEEE DOI 2203
Training, Visualization, Image synthesis, Fuses, Semantics, Generative adversarial networks, BibRef

Huo, J.[Jing], Jin, S.[Shiyin], Li, W.B.[Wen-Bin], Wu, J.[Jing], Lai, Y.K.[Yu-Kun], Shi, Y.[Yinghuan], Gao, Y.[Yang],
Manifold Alignment for Semantically Aligned Style Transfer,
ICCV21(14841-14849)
IEEE DOI 2203
Manifolds, Image segmentation, Codes, Adaptive systems, Semantics, Covariance matrices, Image and video synthesis, BibRef

Chen, H.B.[Hai-Bo], Zhao, L.[Lei], Zhang, H.M.[Hui-Ming], Wang, Z.Z.[Zhi-Zhong], Zuo, Z.W.[Zhi-Wen], Li, A.[Ailin], Xing, W.[Wei], Lu, D.M.[Dong-Ming],
Diverse Image Style Transfer via Invertible Cross-Space Mapping,
ICCV21(14860-14869)
IEEE DOI 2203
Task analysis, Image and video synthesis, Adversarial learning, Neural generative models BibRef

Liu, S.H.[Song-Hua], Lin, T.W.[Tian-Wei], He, D.L.[Dong-Liang], Li, F.[Fu], Wang, M.L.[Mei-Ling], Li, X.[Xin], Sun, Z.X.[Zheng-Xing], Li, Q.[Qian], Ding, E.[Errui],
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer,
ICCV21(6629-6638)
IEEE DOI 2203
Visualization, Codes, Art, Fuses, Modulation, Distortion, Neural generative models, Image and video synthesis BibRef

Xu, W.J.[Wen-Ju], Long, C.J.[Cheng-Jiang], Wang, R.S.[Rui-Sheng], Wang, G.H.[Guang-Hui],
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer,
ICCV21(6363-6372)
IEEE DOI 2203
Training, Visualization, Codes, Computational modeling, Semantics, Generative adversarial networks, Feature extraction, Image and video synthesis BibRef

Chiang, P.Z.[Pei-Ze], Tsai, M.S.[Meng-Shiun], Tseng, H.Y.[Hung-Yu], Lai, W.S.[Wei-Sheng], Chiu, W.C.[Wei-Chen],
Stylizing 3D Scene via Implicit Representation and HyperNetwork,
WACV22(215-224)
IEEE DOI 2202
Training, Solid modeling, Predictive models, 3D Computer Vision Neural rendering BibRef

Han, L.[Ligong], Musunuri, S.H.[Sri Harsha], Min, M.R.Q.[Martin Ren-Qiang], Gao, R.J.[Rui-Jiang], Tian, Y.[Yu], Metaxas, D.N.[Dimitris N.],
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders,
WACV22(955-964)
IEEE DOI 2202
Training, Codes, Image synthesis, Generators, Image reconstruction, Image and Video Synthesis BibRef

Chiu, T.Y.[Tai-Yin], Gurari, D.[Danna],
PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals,
WACV22(2978-2987)
IEEE DOI 2202
Training, Image quality, Wavelet transforms, Photorealism, Image resolution, High frequency, Image Processing BibRef

Tan, W.[Way], Wen, B.[Bihan], Chen, C.[Cen], Zeng, Z.[Zeng], Yang, X.[Xulei],
Systematic Analysis of Circular Artifacts for Stylegan,
ICIP21(3902-3906)
IEEE DOI 2201
Image quality, Systematics, Image processing, Faces, Image Synthesis, Circular Artifacts, High-resolution and Hyper-realistic, StyleGAN BibRef

Liu, Z.S.[Zhi-Song], Kalogeiton, V.[Vicky], Cani, M.P.[Marie-Paule],
Multiple Style Transfer Via Variational Autoencoder,
ICIP21(2413-2417)
IEEE DOI 2201
Training, Interpolation, Image processing, Gaussian distribution, Videos, Testing BibRef

Abbasi, A.[Ali], Toosi, R.[Ramin], Akhaee, M.A.[Mohammad Ali],
Fast and Temporal Consistent Video Style Transfer,
IPRIA21(1-6)
IEEE DOI 2201
Image analysis, Pattern recognition, style transfer, temporal consistency, deep learning BibRef

James, C.[Chrisbin], Gu, Y.[Yanyang], Chapman, S.[Scott], Guo, W.[Wei], David, E.[Etienne], Madec, S.[Simon], Potgieter, A.[Andries], Eriksson, A.[Anders],
Domain Adaptation for Plant Organ Detection with Style Transfer,
DICTA21(1-9)
IEEE DOI 2201
Training, Adaptation models, Head, Pipelines, Refining, Lighting, Detectors, sorghum head detection, wheat head detection, style transfer BibRef

Guo, B.Q.[Bing-Qing], Hao, P.W.[Peng-Wei],
3S-Net: Arbitrary Semantic-Aware Style Transfer With Controllable ROI Choice,
ICIP21(2408-2412)
IEEE DOI 2201
Image processing, Semantics, Neural networks, Task analysis, Style Transfer, Deep Features, Image Generation BibRef

Li, H.L.[Hao-Ling], Chen, Y.Y.[Yuan-Yuan],
Unpaired Night-To-Day Translation: Image Restoration and Style Transfer Under Low Illumination,
ICIP21(1699-1703)
IEEE DOI 2201
Surveillance, Lighting, Generative adversarial networks, Image restoration, Night-to-day transfer, DCGAN BibRef

Das, A.[Anindita], Sen, P.[Prithwish], Sahu, N.[Nilkanta],
Adaptive Style Transfer Using SISR,
CAIP21(I:352-361).
Springer DOI 2112
BibRef

Cai, Y.L.[Yu-Liang], Mohan, S.[Sumit], Niranjan, A.[Adithya], Jain, N.[Nilesh], Cloninger, A.[Alex], Das, S.[Srinjoy],
A Manifold Learning based Video Prediction approach for Deep Motion Transfer,
TAG-CV21(4214-4221)
IEEE DOI 2112
Manifolds, Recurrent neural networks, Pipelines, Bandwidth, Generators, Manifold learning BibRef

Wang, Q.[Qiudan],
Manipulating Image Style Transformation via Latent-Space SVM,
AIM21(1915-1923)
IEEE DOI 2112
Support vector machines, Deep learning, Computational modeling, Pipelines, Feature extraction BibRef

Mulay, S.[Supriti], Ram, K.[Keerthi], Murugesan, B.[Balamurali], Sivaprakasam, M.[Mohanasankar],
Style Transfer based Coronary Artery Segmentation in X-ray Angiogram,
CVAMD21(3386-3394)
IEEE DOI 2112
Training, Image segmentation, Adaptive systems, Convolution, Angiography BibRef

Chen, Y.Q.[Yin-Qi], Zheng, Y.T.[Yang-Ting], Yan, Z.W.[Zhi-Wei],
Decoupling and Coupling Transformation for Arbitrary Style Transfer,
ICIVC21(227-232)
IEEE DOI 2112
Couplings, Covariance matrices, Task analysis, style transfer, texture mapping, decoupling and coupling BibRef

Ren, X.[Xuanchi], Yang, T.[Tao], Wang, Y.[Yuwang], Zeng, W.J.[Wen-Jun],
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement,
AIM21(1823-1832)
IEEE DOI 2112
Image coding, Data models, Task analysis, Image reconstruction BibRef

Lin, H.[Hubert], van Zuijlen, M.[Mitchell], Pont, S.C.[Sylvia C.], Wijntjes, M.W.A.[Maarten W.A.], Bala, K.[Kavita],
What Can Style Transfer and Paintings Do For Model Robustness?,
CVPR21(11023-11032)
IEEE DOI 2111
Training, Filtering, Computational modeling, Transfer functions, Robustness, Data models, Noise robustness BibRef

Kotovenko, D.[Dmytro], Wright, M.[Matthias], Heimbrecht, A.[Arthur], Ommer, B.[Björn],
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes,
CVPR21(12191-12200)
IEEE DOI 2111
Visualization, Codes, Process control, Rendering (computer graphics), Pattern recognition, Painting BibRef

Ding, X.H.[Xiao-Han], Zhang, X.Y.[Xiang-Yu], Ma, N.N.[Ning-Ning], Han, J.G.[Jun-Gong], Ding, G.G.[Gui-Guang], Sun, J.[Jian],
RepVGG: Making VGG-style ConvNets Great Again,
CVPR21(13728-13737)
IEEE DOI 2111
Codes, Network topology, Convolution, Computational modeling, Graphics processing units, Computer architecture BibRef

Wu, Z.Z.[Zong-Ze], Lischinski, D.[Dani], Shechtman, E.[Eli],
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation,
CVPR21(12858-12867)
IEEE DOI 2111
Measurement, Visualization, Analytical models, Image synthesis, Computer architecture, Aerospace electronics BibRef

Kalischek, N.[Nikolai], Wegner, J.D.[Jan D.], Schindler, K.[Konrad],
In the light of feature distributions: moment matching for Neural Style Transfer,
CVPR21(9377-9386)
IEEE DOI 2111
Measurement, Semantics, Computational efficiency, Convolutional neural networks, Pattern matching BibRef

Liu, X.C.[Xiao-Chang], Yang, Y.L.[Yong-Liang], Hall, P.[Peter],
Learning to Warp for Style Transfer,
CVPR21(3701-3710)
IEEE DOI 2111
Geometry, Art, Semantics, Neural networks, Pattern recognition, Strain BibRef

Meshry, M.[Moustafa], Ren, Y.X.[Yi-Xuan], Davis, L.S.[Larry S.], Shrivastava, A.[Abhinav],
StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis,
CVPR21(3711-3720)
IEEE DOI 2111
Training, Codes, Image synthesis, Benchmark testing, Generative adversarial networks, Generators BibRef

Xie, C.[Chulin], Wang, C.X.[Chu-Xin], Zhang, B.[Bo], Yang, H.[Hao], Chen, D.[Dong], Wen, F.[Fang],
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion,
CVPR21(4617-4626)
IEEE DOI 2111
Training, Earth, Visualization, Shape, Image edge detection, Rendering (computer graphics), Feature extraction BibRef

Lin, T.[Tianwei], Ma, Z.Q.[Zhuo-Qi], Li, F.[Fu], He, D.L.[Dong-Liang], Li, X.[Xin], Ding, E.[Errui], Wang, N.N.[Nan-Nan], Li, J.[Jie], Gao, X.[Xinbo],
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer,
CVPR21(5137-5146)
IEEE DOI 2111
Image texture, Laplace equations, Image resolution, Costs, Filtering, Stacking BibRef

Chandran, P.[Prashanth], Zoss, G.[Gaspard], Gotardo, P.[Paulo], Gross, M.[Markus], Bradley, D.[Derek],
Adaptive Convolutions for Structure-Aware Style Transfer,
CVPR21(7968-7977)
IEEE DOI 2111
Image synthesis, Real-time systems, Weaving, Pattern recognition, Decoding, Task analysis BibRef

Cheng, J.X.[Jia-Xin], Jaiswal, A.[Ayush], Wu, Y.[Yue], Natarajan, P.[Pradeep], Natarajan, P.[Prem],
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer,
CVPR21(134-143)
IEEE DOI 2111
Training, Pattern recognition BibRef

An, J.[Jie], Huang, S.[Siyu], Song, Y.B.[Yi-Bing], Dou, D.[Dejing], Liu, W.[Wei], Luo, J.B.[Jie-Bo],
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows,
CVPR21(862-871)
IEEE DOI 2111
Neural networks, Feature extraction, Inference algorithms, Pattern recognition BibRef

Chen, H.B.[Hai-Bo], Zhao, L.[Lei], Wang, Z.Z.[Zhi-Zhong], Zhang, H.M.[Hui-Ming], Zuo, Z.W.[Zhi-Wen], Li, A.[Ailin], Xing, W.[Wei], Lu, D.M.[Dong-Ming],
DualAST: Dual Style-Learning Networks for Artistic Style Transfer,
CVPR21(872-881)
IEEE DOI 2111
Visualization, Image color analysis, Controllability, Pattern recognition, Task analysis BibRef

Wang, P.[Pei], Li, Y.J.[Yi-Jun], Vasconcelos, N.M.[Nuno M.],
Rethinking and Improving the Robustness of Image Style Transfer,
CVPR21(124-133)
IEEE DOI 2111
Visualization, Smoothing methods, Correlation, Computer architecture, Network architecture, Feature extraction, Robustness 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.M.[Cai-Ming], Wu, T.F.[Tian-Fu], Zhou, Y.[Yu], Zhang, L.[Lun], Chu, R.F.[Ru-Feng],
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], Uricchio, 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:Jun 27, 2022 at 12:58:02