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
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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,
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Vo, D.M.[Duc Minh],
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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
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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.,
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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
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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.Z.[Dai-Zong],
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.W.[Li-Wen],
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
Mun, H.[Hwanbok],
Yoon, G.J.[Gang-Joon],
Song, J.[Jinjoo],
Yoon, S.M.[Sang Min],
Texture Preserving Photo Style Transfer Network,
MultMed(24), 2022, pp. 3823-3834.
IEEE DOI
2208
Image color analysis, Image decomposition, Deep learning,
Distortion, Semantics, Image edge detection, Smoothing methods,
texture preserving style transfer
BibRef
Huang, Y.J.[Yu-Jie],
Liu, Y.H.[Yu-Hao],
Jing, M.G.[Min-Ge],
Zeng, X.Y.[Xiao-Yang],
Fan, Y.[Yibo],
Tear the Image Into Strips for Style Transfer,
MultMed(24), 2022, pp. 3978-3988.
IEEE DOI
2208
Strips, Correlation, Pipelines, Signal processing algorithms,
Memory management, Task analysis, Image resolution, Style Transfer,
Deep Learning
BibRef
Zeng, M.[Ming],
Zheng, Y.[Yinglin],
Lin, J.P.[Jin-Peng],
Cheng, X.[Xuan],
Liao, J.[Jing],
Wu, Z.[Zizhao],
Deng, W.J.[Wen-Jin],
Controllable Facial Caricaturization With Localized Deformation and
Personalized Semantic Attentions,
MultMed(24), 2022, pp. 4041-4053.
IEEE DOI
2208
Strain, Shape, Semantics, Geometry, Faces,
Generative adversarial networks, Task analysis, Caricature,
style transfer
BibRef
Li, B.[Bing],
Zhu, Y.[Yuanlue],
Wang, Y.[Yitong],
Lin, C.W.[Chia-Wen],
Ghanem, B.[Bernard],
Shen, L.L.[Lin-Lin],
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised
Anime Face Generation,
MultMed(24), 2022, pp. 4077-4091.
IEEE DOI
2208
Shape, Generators, Faces, Transforms, Task analysis, Decoding,
Visualization, GAN, Image translation,
style transfer
BibRef
Qu, Y.[Ying],
Shao, Z.Z.[Zhen-Zhou],
Qi, H.R.[Hai-Rong],
Non-Local Representation Based Mutual Affine-Transfer Network for
Photorealistic Stylization,
PAMI(44), No. 10, October 2022, pp. 7046-7061.
IEEE DOI
2209
Image color analysis, Feature extraction, Context modeling,
Semantics, Image segmentation, Distortion, Data mining,
affine-transfer
BibRef
Wang, X.[Xinhao],
Wang, W.J.[Wen-Jing],
Yang, S.[Shuai],
Liu, J.Y.[Jia-Ying],
CLAST: Contrastive Learning for Arbitrary Style Transfer,
IP(31), 2022, pp. 6761-6772.
IEEE DOI
2211
Feature extraction, Painting, Training, Neural networks,
Loss measurement, Modulation, Generative adversarial networks,
self-supervised learning
BibRef
Zhu, Y.[Ye],
Wang, C.[Chao],
Geng, S.[Shuze],
Yu, Y.[Yang],
Hao, X.[Xiaoke],
Multi-scale gradient attention guidance and adaptive style fusion for
image inpainting,
JVCIR(89), 2022, pp. 103681.
Elsevier DOI
2212
Image inpainting, Style transfer, Gradient attention, Multi-scale gradient loss
BibRef
Batziou, E.[Elissavet],
Ioannidis, K.[Konstantinos],
Patras, I.[Ioannis],
Vrochidis, S.[Stefanos],
Kompatsiaris, I.[Ioannis],
Artistic neural style transfer using CycleGAN and FABEMD by adaptive
information selection,
PRL(165), 2023, pp. 55-62.
Elsevier DOI
2301
Neural style transfer, FABEMD, Cycle-consistency loss, CycleGAN
BibRef
Zhang, C.[Can],
Xu, R.Y.D.[Richard Yi Da],
Zhang, X.[Xu],
Huang, W.[Wanming],
Capture and control content discrepancies via normalised flow
transfer,
PRL(165), 2023, pp. 161-167.
Elsevier DOI
2301
Unsupervised style transfer, Normalised flow model,
Content discrepancies, Generative adversarial network
BibRef
Jing, Y.C.[Yong-Cheng],
Mao, Y.[Yining],
Yang, Y.D.[Yi-Ding],
Zhan, Y.B.[Yi-Bing],
Song, M.L.[Ming-Li],
Wang, X.C.[Xin-Chao],
Tao, D.C.[Da-Cheng],
Learning Graph Neural Networks for Image Style Transfer,
ECCV22(VII:111-128).
Springer DOI
2211
BibRef
Lötzsch, W.[Winfried],
Reimann, M.[Max],
Büssemeyer, M.[Martin],
Semmo, A.[Amir],
Döllner, J.[Jürgen],
Trapp, M.[Matthias],
WISE: Whitebox Image Stylization by Example-Based Learning,
ECCV22(XVII:135-152).
Springer DOI
2211
WWW Link.
BibRef
Chefer, H.[Hila],
Benaim, S.[Sagie],
Paiss, R.[Roni],
Wolf, L.B.[Lior B.],
Image-Based CLIP-Guided Essence Transfer,
ECCV22(XIII:695-711).
Springer DOI
2211
BibRef
Fu, T.J.[Tsu-Jui],
Wang, X.E.[Xin Eric],
Wang, W.Y.[William Yang],
Language-Driven Artistic Style Transfer,
ECCV22(XXXVI:717-734).
Springer DOI
2211
BibRef
Ham, C.[Cusuh],
Tarrés, G.C.[Gemma Canet],
Bui, T.[Tu],
Hays, J.[James],
Lin, Z.[Zhe],
Collomosse, J.[John],
CoGS: Controllable Generation and Search from Sketch and Style,
ECCV22(XVI:632-650).
Springer DOI
2211
BibRef
Wu, Z.[Zijie],
Zhu, Z.[Zhen],
Du, J.P.[Jun-Ping],
Bai, X.[Xiang],
CCPL: Contrastive Coherence Preserving Loss for Versatile Style
Transfer,
ECCV22(XVI:189-206).
Springer DOI
2211
BibRef
Samuth, B.[Benjamin],
Tschumperlé, D.[David],
Rabin, J.[Julien],
A Patch-Based Approach for Artistic Style Transfer Via Constrained
Multi-Scale Image Matching,
ICIP22(3490-3494)
IEEE DOI
2211
Training, Image matching, Approximation algorithms,
Convolutional neural networks, Style Transfer,
Perceptual Features
BibRef
d'Angelo, S.[Stefano],
Precioso, F.[Frédéric],
Gandon, F.[Fabien],
Revisiting Artistic Style Transfer for Data Augmentation in A
Real-Case Scenario,
ICIP22(4178-4182)
IEEE DOI
2211
Training, Semantics, Generative adversarial networks,
Convolutional neural networks, Painting, Neural Style Transfer, Photorealism
BibRef
Ryu, O.[Oseok],
Lee, B.[Bowon],
Style Transfer Using Optimal Transport Via Wasserstein Distance,
ICIP22(2681-2685)
IEEE DOI
2211
Image segmentation, Image color analysis, Collaboration,
Filtering algorithms, Decoding, Style Transfer, Optimal Transport, AdaIN
BibRef
Awane, K.[Keita],
Horita, D.[Daichi],
Ikuta, H.[Hikaru],
Matsui, Y.[Yusuke],
Aizawa, K.[Kiyoharu],
Yanase, N.[Naohiro],
Translation of Illustration Artist Style Using Sailormoonredraw Data,
ICIP22(2446-2450)
IEEE DOI
2211
Deep learning, Shape, Supervised learning, Moon, Production,
Feature extraction, Task analysis, Deep Learning, Dataset,
Support System for Illustration Production
BibRef
Durand, T.[Thibault],
Rabin, J.[Julien],
Tschumperlé, D.[David],
Modular and Lightweight Networks for Bi-Scale Style Transfer,
ICIP22(1871-1875)
IEEE DOI
2211
Training, Knowledge engineering, Image color analysis,
Neural networks, Tuning, Multiple Style Transfer, Color transfer,
Texture Synthesis/Mixing
BibRef
Michel, O.[Oscar],
Bar-On, R.[Roi],
Liu, R.[Richard],
Benaim, S.[Sagie],
Hanocka, R.[Rana],
Text2Mesh: Text-Driven Neural Stylization for Meshes,
CVPR22(13482-13492)
IEEE DOI
2210
Solid modeling, Visualization, Image color analysis, Shape,
Neural networks, Topology, Vision + graphics,
Image and video synthesis and generation
BibRef
Mu, F.Z.[Fang-Zhou],
Wang, J.[Jian],
Wu, Y.C.[Yi-Cheng],
Li, Y.[Yin],
3D Photo Stylization: Learning to Generate Stylized Novel Views from
a Single Image,
CVPR22(16252-16261)
IEEE DOI
2210
Photography, Training, Point cloud compression, Visualization,
Protocols, Computational photography, Vision + graphics
BibRef
Tumanyan, N.[Narek],
Bar-Tal, O.[Omer],
Bagon, S.[Shai],
Dekel, T.[Tali],
Splicing ViT Features for Semantic Appearance Transfer,
CVPR22(10738-10747)
IEEE DOI
2210
Training, Representation learning, Photography, Visualization,
Splicing, Semantics, Self-supervised learning,
Computational photography
BibRef
Li, Y.K.[Yuan-Kui],
Lien, Y.H.[Yun-Hsuan],
Wang, Y.S.[Yu-Shuen],
Style-Structure Disentangled Features and Normalizing Flows for
Diverse Icon Colorization,
CVPR22(11234-11243)
IEEE DOI
2210
Training, Codes, Image color analysis, Shape, Semantics, Transforms,
Network architecture, Image and video synthesis and generation,
Vision + graphics
BibRef
Park, J.[Jeeseung],
Kim, Y.[Younggeun],
Styleformer: Transformer based Generative Adversarial Networks with
Style Vector,
CVPR22(8973-8982)
IEEE DOI
2210
Visualization, Costs, Image resolution, Image synthesis,
Computational modeling, Media, Computer vision theory,
Vision + X
BibRef
Chiu, T.Y.[Tai-Yin],
Gurari, D.[Danna],
PCA-Based Knowledge Distillation Towards Lightweight and
Content-Style Balanced Photorealistic Style Transfer Models,
CVPR22(7834-7843)
IEEE DOI
2210
Deep learning, Image resolution, Codes, Computational modeling,
Pattern recognition,
Statistical methods
BibRef
Yang, J.C.[Jin-Chao],
Guo, F.[Fei],
Chen, S.[Shuo],
Li, J.[Jun],
Yang, J.[Jian],
Industrial Style Transfer with Large-scale Geometric Warping and
Content Preservation,
CVPR22(7824-7833)
IEEE DOI
2210
Visualization, Art, Porcelain, Shape, Pipelines, Neural networks,
Image and video synthesis and generation, Vision + graphics
BibRef
Tao, T.X.[Tian-Xin],
Zhan, X.H.[Xiao-Hang],
Chen, Z.Q.[Zhong-Quan],
van de Panne, M.[Michiel],
Style-ERD: Responsive and Coherent Online Motion Style Transfer,
CVPR22(6583-6593)
IEEE DOI
2210
Runtime, Perturbation methods, Motion segmentation, Memory modules,
Animation, Real-time systems, Motion and tracking,
Vision + graphics
BibRef
Höllein, L.[Lukas],
Johnson, J.[Justin],
Nießner, M.[Matthias],
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions,
CVPR22(6188-6198)
IEEE DOI
2210
Surface reconstruction, Solid modeling, Pipelines,
Rendering (computer graphics), Real-time systems, Vision + graphics
BibRef
Yang, S.[Shuai],
Jiang, L.M.[Li-Ming],
Liu, Z.[Ziwei],
Loy, C.C.[Chen Change],
Pastiche Master: Exemplar-Based High-Resolution Portrait Style
Transfer,
CVPR22(7683-7692)
IEEE DOI
2210
Codes, Image color analysis, Face recognition,
Computational modeling, Transfer learning, Transforms, Face and gestures
BibRef
OrEl, R.[Roy],
Luo, X.[Xuan],
Shan, M.[Mengyi],
Shechtman, E.[Eli],
Park, J.J.[Jeong Joon],
Kemelmacher-Shlizerman, I.[Ira],
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation,
CVPR22(13493-13503)
IEEE DOI
2210
Geometry, Visualization, Image resolution, Shape, Image synthesis,
Merging, Image and video synthesis and generation,
Self- semi- meta- Vision + graphics
BibRef
Deng, Y.Y.[Ying-Ying],
Tang, F.[Fan],
Dong, W.M.[Wei-Ming],
Ma, C.Y.[Chong-Yang],
Pan, X.J.[Xing-Jia],
Wang, L.[Lei],
Xu, C.S.[Chang-Sheng],
StyTr2: Image Style Transfer with Transformers,
CVPR22(11316-11326)
IEEE DOI
2210
Deep learning, Visualization, Image coding, Transformers,
Feature extraction, Encoding, Decoding,
Deep learning architectures and techniques
BibRef
Zhang, B.[Bowen],
Gu, S.[Shuyang],
Zhang, B.[Bo],
Bao, J.[Jianmin],
Chen, D.[Dong],
Wen, F.[Fang],
Wang, Y.[Yong],
Guo, B.[Baining],
StyleSwin: Transformer-based GAN for High-resolution Image Generation,
CVPR22(11294-11304)
IEEE DOI
2210
Wavelet transforms, Training, Image synthesis,
Computational modeling, Spatial coherence, Transformers,
Deep learning architectures and techniques
BibRef
Kinli, F.[Furkan],
Özcan, B.[Baris],
Kiraç, F.[Furkan],
Patch-wise Contrastive Style Learning for Instagram Filter Removal,
NTIRE22(577-587)
IEEE DOI
2210
Training, Matched filters, Social networking (online),
Perturbation methods, Multimedia Web sites, Semantics, Computer architecture
BibRef
Kwon, G.[Gihyun],
Ye, J.C.[Jong Chul],
CLIPstyler: Image Style Transfer with a Single Text Condition,
CVPR22(18041-18050)
IEEE DOI
2210
Semantics, Modulation, Pattern recognition, Vision+language,
Image and video synthesis and generation
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,
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.Y.[Yan-Yang],
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, 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.W.[Tian-Wei],
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.B.[Xin-Bo],
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,
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,
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
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,
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
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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
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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
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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 .