11.14.3.10.3 Style Transfer

Chapter Contents (Back)
Style Transfer.
See also Image to Image Translation.
See also StyleGAN Image Synthesis, Image Generation.

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

Pan, W.[Wei], Zhu, A.[Anna], Zhou, X.Y.[Xin-Yu], Iwana, B.K.[Brian Kenji], Li, S.L.[Shi-Lin],
Few shot font generation via transferring similarity guided global style and quantization local style,
ICCV23(19449-19459)
IEEE DOI Code:
WWW Link. 2401
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.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.L.[Ying-Lin], Lin, J.P.[Jin-Peng], Cheng, X.[Xuan], Liao, J.[Jing], Wu, Z.Z.[Zi-Zhao], 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.T.[Yi-Tong], 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

Huang, Y.J.[Yu-Jie], Jing, M.G.[Min-Ge], Zhou, J.J.[Jin-Jia], Liu, Y.H.[Yu-Hao], Fan, Y.[Yibo],
LCCStyle: Arbitrary Style Transfer With Low Computational Complexity,
MultMed(25), 2023, pp. 501-514.
IEEE DOI 2302
Shape, Computational complexity, Training, Deep learning, Fans, Computational efficiency, Task analysis, Style transfer, deep learning BibRef

Cheng, J.[Jikang], Han, Z.[Zhen], Wang, Z.Y.[Zhong-Yuan],
Stylized image denoising via noise style transfer and Quasi Siamese network,
SP:IC(115), 2023, pp. 116958.
Elsevier DOI 2306
Neural style transfer, Image denoising, Siamese network BibRef

Chen, H.W.[Hang-Wei], Shao, F.[Feng], Chai, X.[Xiongli], Gu, Y.[Yuese], Jiang, Q.P.[Qiu-Ping], Meng, X.C.[Xiang-Chao], Ho, Y.S.[Yo-Sung],
Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metric,
CirSysVideo(33), No. 7, July 2023, pp. 3055-3070.
IEEE DOI 2307
Measurement, Task analysis, Art, Q-factor, Neural networks, Image quality, Quality assessment, sparse feature similarity BibRef

Zhou, P.[Peng], Xie, L.X.[Ling-Xi], Ni, B.B.[Bing-Bing], Tian, Q.[Qi],
CIPS-3D++: End-to-End Real-Time High-Resolution 3D-Aware GANs for GAN Inversion and Stylization,
PAMI(45), No. 10, October 2023, pp. 11502-11520.
IEEE DOI 2310
BibRef

Kim, S.[Sunwoo], Min, Y.[Youngjo], Jung, Y.H.[Young-Hun], Kim, S.[Seungryong],
Controllable Style Transfer via Test-time Training of Implicit Neural Representation,
PR(146), 2024, pp. 109988.
Elsevier DOI 2311
Style transfer, Implicit neural representation BibRef

Li, J.[Jie], Xiang, Y.[Yong], Wu, H.[Hao], Yao, S.[Shaowen], Xu, D.[Dan],
Optimal Transport-Based Patch Matching for Image Style Transfer,
MultMed(25), 2023, pp. 5927-5940.
IEEE DOI 2311
BibRef

Canham, T.[Trevor], Fernandez, A.M.[Adrian Martin], Bertalmio, M.[Marcelo], Portilla, J.[Javier],
Using Decoupled Features for Photorealistic Style Transfer,
SIIMS(16), No. 3, 2023, pp. 1687-1726.
DOI Link 2312
BibRef

Chen, W.S.[Wen-Shu], Huang, Y.J.[Yu-Jie], Wang, M.Y.[Ming-Yu], Wu, X.L.[Xiao-Lin], Zeng, X.Y.[Xiao-Yang],
KBStyle: Fast Style Transfer Using a 200 KB Network With Symmetric Knowledge Distillation,
IP(33), 2024, pp. 82-94.
IEEE DOI 2312
BibRef

Jing, M.M.[Meng-Meng], Li, J.J.[Jing-Jing], Lu, K.[Ke], Zhu, L.[Lei], Shen, H.T.[Heng Tao],
Visually Source-Free Domain Adaptation via Adversarial Style Matching,
IP(33), 2024, pp. 1032-1044.
IEEE DOI 2402
Generators, Adaptation models, Training, Semantics, Webcams, Prototypes, Task analysis, Transfer learning, domain adaptation BibRef

Guan, X.C.[Xian-Chao], Wang, Y.F.[Yi-Feng], Lin, Y.Y.[Yi-Yang], Li, X.[Xi], Zhang, Y.B.[Yong-Bing],
Unsupervised Multi-Domain Progressive Stain Transfer Guided by Style Encoding Dictionary,
IP(33), 2024, pp. 767-779.
IEEE DOI Code:
WWW Link. 2402
Dictionaries, Image coding, Encoding, Kidney, Diseases, Task analysis, Optical fiber networks, Multi-domain style transfer, style encoding dictionary BibRef

Zhao, Y.Y.[Yu-Yang], Zhong, Z.[Zhun], Zhao, N.[Na], Sebe, N.[Nicu], Lee, G.H.[Gim Hee],
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization,
IJCV(132), No. 3, March 2024, pp. 837-853.
Springer DOI 2402
BibRef

Bai, Z.Y.[Zhong-Yu], Xu, H.L.[Hong-Li], Zhang, X.Y.[Xiang-Yue], Ding, Q.[Qichuan],
GCSANet: Arbitrary Style Transfer With Global Context Self-Attentional Network,
MultMed(26), 2024, pp. 1407-1420.
IEEE DOI 2402
Feature extraction, Semantics, Task analysis, Computational modeling, Context modeling, Transforms, Global contextual feature BibRef

Wang, Q.[Quan], Li, S.[Sheng], Wang, Z.[Zichi], Zhang, X.P.[Xin-Peng], Feng, G.R.[Guo-Rui],
Multi-Source Style Transfer via Style Disentanglement Network,
MultMed(26), 2024, pp. 1373-1383.
IEEE DOI 2402
Decoding, Feature extraction, Training, Testing, Indexes, Image color analysis, Videos, Style transfer, style component BibRef

Wang, X.M.[Xiao-Meng], Chen, H.[Honglong], Sun, P.[Peng], Li, J.J.[Jun-Jian], Zhang, A.[Anqing], Liu, W.F.[Wei-Feng], Jiang, N.[Nan],
AdvST: Generating Unrestricted Adversarial Images via Style Transfer,
MultMed(26), 2024, pp. 4846-4858.
IEEE DOI 2403
Image color analysis, Semantics, Perturbation methods, Robustness, Image edge detection, Training, Image quality, Adversarial images, artistic attack BibRef

Liu, B.Z.[Bing-Zheng], Peng, B.[Bo], Zhang, Z.[Zhe], Huang, Q.M.[Qing-Ming], Ling, N.[Nam], Lei, J.J.[Jian-Jun],
Unsupervised Single-View Synthesis Network via Style Guidance and Prior Distillation,
CirSysVideo(34), No. 3, March 2024, pp. 1604-1614.
IEEE DOI 2403
Solid modeling, Task analysis, Training, Rendering (computer graphics), Unsupervised learning, Geometry, prior-distillation view synthesis model BibRef

Huo, J.[Jing], Kong, M.[Meihao], Li, W.B.[Wen-Bin], Wu, J.[Jing], Lai, Y.K.[Yu-Kun], Gao, Y.[Yang],
Towards efficient image and video style transfer via distillation and learnable feature transformation,
CVIU(241), 2024, pp. 103947.
Elsevier DOI 2403
Image style transfer, Video style transfer, Knowledge distillation, Feature transformation BibRef

Zhang, Z.J.[Zhan-Jie], Sun, J.[Jiakai], Li, G.Y.[Guang-Yuan], Zhao, L.[Lei], Zhang, Q.[Quanwei], Lan, Z.[Zehua], Yin, H.L.[Hao-Lin], Xing, W.[Wei], Lin, H.Z.[Huai-Zhong], Zuo, Z.W.[Zhi-Wen],
Rethink arbitrary style transfer with transformer and contrastive learning,
CVIU(241), 2024, pp. 103951.
Elsevier DOI 2403
Arbitrary style transfer, Transformer, Contrastive learning BibRef

Yu, Y.[Yue], Wang, J.M.[Jian-Ming], Li, N.[Nengli],
Foreground and background separated image style transfer with a single text condition,
IVC(143), 2024, pp. 104956.
Elsevier DOI 2403
Text, Style transfer, CLIP, Salient object detection BibRef

Liu, C.[Chang], Niu, Y.[Yi], Ma, M.M.[Ming-Ming], Li, F.[Fu], Shi, G.M.[Guang-Ming],
Retinex-Guided Channel Grouping-Based Patch Swap for Arbitrary Style Transfer,
MultMedMag(31), No. 1, January 2024, pp. 7-18.
IEEE DOI 2404
Feature extraction, Surface texture, Reflectivity, Lighting, Tensors, Codes, Image reconstruction, Image synthesis, Decoding, User experience BibRef

Zhu, Y., Niu, Y., Li, F., Zou, C., Shi, G.M.[Guang-Ming],
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

Lyu, Y.M.[Yue-Ming], Jiang, Y.[Yue], Peng, B.[Bo], Dong, J.[Jing],
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer,
CirSysVideo(34), No. 4, April 2024, pp. 2070-2082.
IEEE DOI 2404
Feature extraction, Image color analysis, Image coding, Visualization, Optimization, Data mining, Representation learning, information theory BibRef

x Gu, S.[Suhang], Chung, F.L.[Fu-Lai], Wang, S.T.[Shi-Tong],
A Novel Style Takagi-Sugeno-Kang Fuzzy Classifier With Its Fast Training on Style Data,
CirSysVideo(34), No. 4, April 2024, pp. 2814-2831.
IEEE DOI Code:
WWW Link. 2404
Training, Fuzzy systems, Classification algorithms, Takagi-Sugeno model, Optimization, Linear programming, fast learning algorithm BibRef

Li, C.Y.[Cheng-Yang], Cheng, B.P.[Bao-Ping], Cheng, Y.[Yao], Zhang, H.C.[Hao-Cheng], Liu, R.S.[Ren-Shuai], Zheng, Y.[Yinglin], Liao, J.[Jing], Cheng, X.[Xuan],
FaceRefiner: High-Fidelity Facial Texture Refinement With Differentiable Rendering-Based Style Transfer,
MultMed(26), 2024, pp. 7225-7236.
IEEE DOI 2405
Faces, Rendering (computer graphics), Image reconstruction, Face recognition, Solid modeling, Cameras, style transfer BibRef

Zhang, S.[Sijia], Liu, T.[Ting], Li, Z.Y.[Zhuo-Yuan], Sun, Y.[Yi],
Arbitrary 3D stylization of radiance fields,
IVC(145), 2024, pp. 104971.
Elsevier DOI 2405
Novel view synthesis, Neural radiance fields, Style transfer BibRef


Manandhar, S.[Sandeep], Genovesio, A.[Auguste],
One Style is All You Need to Generate a Video,
WACV24(5026-5035)
IEEE DOI 2404
Measurement, Dynamics, Web pages, Training data, Generators, Vectors, conditional video generation, temporal style, dynamics transfer BibRef

Suresh, A.P.[Ananda Padhmanabhan], Jain, S.[Sanjana], Noinongyao, P.[Pavit], Ganguly, A.[Ankush], Watchareeruetai, U.[Ukrit], Samacoits, A.[Aubin],
FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using Style Representations,
WACV24(7301-7310)
IEEE DOI 2404
Measurement, Runtime, Image edge detection, Computational modeling, Natural languages, Optimization, Applications, Vision + language and/or other modalities BibRef

Silva, A.[Amila], Moskvyak, O.[Olga], Long, A.[Alexander], Garg, R.[Ravi], Gould, S.[Stephen], Avraham, G.[Gil], van den Hengel, A.[Anton],
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes,
WACV24(8031-8040)
IEEE DOI 2404
Measurement, Image synthesis, Scalability, Refining, Lighting, Controllability, Rendering (computer graphics), Applications, image and video synthesis BibRef

Mehra, A.[Akshay], Zhang, Y.[Yunbei], Kailkhura, B.[Bhavya], Hamm, J.[Jihun],
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization,
WACV24(3788-3799)
IEEE DOI 2404
Training, Smoothing methods, Closed box, Benchmark testing, Task analysis, Autonomous vehicles, Algorithms, and algorithms BibRef

Li, Y.X.[Ya-Xin], Ren, J.[Jie], Xu, H.[Han], Liu, H.[Hui],
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer,
WACV24(3954-3963)
IEEE DOI 2404
Measurement, Perturbation methods, Computational modeling, Decoding, Protection, Artificial intelligence, Algorithms. BibRef

Xu, Z.P.[Zi-Peng], Xing, S.L.[Song-Long], Sangineto, E.[Enver], Sebe, N.[Nicu],
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective,
WACV24(5109-5118)
IEEE DOI Code:
WWW Link. 2404
Visualization, Codes, Image synthesis, Image color analysis, Natural languages, Paints, Algorithms, Generative models for image, Vision + language and/or other modalities BibRef

Wang, H.Y.[Han-Yu], Wu, P.X.[Peng-Xiang], Rosa, K.D.[Kevin Dela], Wang, C.[Chen], Shrivastava, A.[Abhinav],
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion,
WACV24(4964-4973)
IEEE DOI 2404
Interpolation, Art, Task analysis, Algorithms, Generative models for image, video, 3D, etc., Algorithms, Vision + language and/or other modalities BibRef

Yoon, J.[Jeongbeen], Kim, S.[Sanghyun], Kwak, S.[Suha], Cho, M.[Minsu],
Optical Flow Domain Adaptation via Target Style Transfer,
WACV24(2100-2110)
IEEE DOI 2404
Training, Computational modeling, Ultraviolet sources, Estimation, Feature extraction, Adversarial machine learning, Algorithms, Image recognition and understanding BibRef

Kim, T.[Taehoon], Han, B.H.[Bo-Hyung],
Randomized Adversarial Style Perturbations for Domain Generalization,
WACV24(2306-2314)
IEEE DOI 2404
Training, Perturbation methods, Benchmark testing, Feature extraction, Distortion, Robustness, Algorithms, adversarial attack and defense methods BibRef

Mushiake, D.[Daiki], Otomo, K.[Kentaro], Nakatani, C.[Chihiro], Ukita, N.[Norimichi],
Shape Preservation in Image Style Transfer for Gaze Estimation,
MVA23(1-5)
DOI Link 2403
Training, Estimation error, Shape, Machine vision, Task analysis BibRef

Peng, W.Y.[Wei-Yu], Qian, X.Z.[Xue-Zhong], Song, W.[Wei],
A new style transfer method based on color prioritization,
CVIDL23(385-390)
IEEE DOI 2403
Deep learning, Image color analysis, Statistical analysis, Entertainment industry, Propagation losses, Color perceptual loss BibRef

Zhu, M.[Mingrui], He, X.[Xiao], Wang, N.N.[Nan-Nan], Wang, X.Y.[Xiao-Yu], Gao, X.B.[Xin-Bo],
All-to-key Attention for Arbitrary Style Transfer,
ICCV23(23052-23062)
IEEE DOI Code:
WWW Link. 2401
BibRef

Gu, B.[Bohai], Fan, H.[Heng], Zhang, L.[Libo],
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers,
ICCV23(23488-23497)
IEEE DOI Code:
WWW Link. 2401
BibRef

Tukur, M., Rehman, A.U.[A. Ur], Pintore, G., Gobbetti, E., Schneider, J., Agus, M.,
PanoStyle: Semantic, Geometry-Aware and Shading Independent Photorealistic Style Transfer for Indoor Panoramic Scenes,
CVAAD23(1545-1556)
IEEE DOI 2401
BibRef

Yang, S.[Serin], Hwang, H.[Hyunmin], Ye, J.C.[Jong Chul],
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer,
ICCV23(22816-22825)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, Y.H.[Yu-Han], Jiang, L.M.[Li-Ming], Loy, C.C.[Chen Change],
StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation,
ICCV23(22794-22804)
IEEE DOI Code:
WWW Link. 2401
BibRef

Shvetsova, N.[Nina], Kukleva, A.[Anna], Schiele, B.[Bernt], Kuehne, H.[Hilde],
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval,
ICCV23(21924-21935)
IEEE DOI 2401
BibRef

Hong, K.[Kibeom], Jeon, S.[Seogkyu], Lee, J.[Junsoo], Ahn, N.[Namhyuk], Kim, K.[Kunhee], Lee, P.[Pilhyeon], Kim, D.[Daesik], Uh, Y.J.[Young-Jung], Byun, H.R.[Hye-Ran],
AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks,
ICCV23(22701-22710)
IEEE DOI 2401
BibRef

Yu, C.F.[Chang-Feng], Chen, S.M.[Shi-Ming], Chang, Y.[Yi], Song, Y.B.[Yi-Bing], Yan, L.X.[Lu-Xin],
Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation,
ICCV23(12353-12363)
IEEE DOI 2401
BibRef

Cho, J.[Junhyeong], Nam, G.[Gilhyun], Kim, S.[Sungyeon], Yang, H.[Hunmin], Kwak, S.[Suha],
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization,
ICCV23(15656-15666)
IEEE DOI 2401
BibRef

Xu, Z.P.[Zi-Peng], Sangineto, E.[Enver], Sebe, N.[Nicu],
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model,
ICCV23(7567-7577)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, Z.Z.[Zhi-Zhong], Zhao, L.[Lei], Xing, W.[Wei],
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models,
ICCV23(7643-7655)
IEEE DOI 2401
BibRef

Wang, R.[Renke], Que, G.[Guimin], Chen, S.[Shuo], Li, X.[Xiang], Li, J.[Jun], Yang, J.[Jian],
Creative Birds: Self-Supervised Single-View 3D Style Transfer,
ICCV23(8741-8750)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, R.[Renke], Que, G.[Guimin], Chen, S.[Shuo], Li, X.[Xiang], Li, J.[Jun], Yang, J.[Jian],
Creative Birds: Self-Supervised Single-View 3D Style Transfer,
ICCV23(8741-8750)
IEEE DOI Code:
WWW Link. 2401
BibRef

Everaert, M.N.[Martin Nicolas], Bocchio, M.[Marco], Arpa, S.[Sami], Süsstrunk, S.[Sabine], Achanta, R.[Radhakrishna],
Diffusion in Style,
ICCV23(2251-2261)
IEEE DOI 2401
BibRef

Shen, J.H.[Jiang-Hao], Wu, T.F.[Tian-Fu],
Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis,
ICIP23(1455-1459)
IEEE DOI 2312
BibRef
And:
Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis,
ICIP23(2855-2859)
IEEE DOI 2312
BibRef

Kamra, C.G.[Chanda Grover], Mastan, I.D.[Indra Deep], Gupta, D.[Debayan],
SEM-CS: Semantic Clipstyler for Text-Based Image Style Transfer,
ICIP23(395-399)
IEEE DOI 2312
BibRef

Li, Y.T.[Yi-Tong], Ma, J.[Jie],
A Saliency-Aware Method for Arbitrary Style Transfer,
ICIP23(740-744)
IEEE DOI Code:
WWW Link. 2312
BibRef

Kim, M.J.[Min-Jae], Kwon, S.B.[Su-Bin], Ahn, B.H.[Byung-Hyun], Ha, E.[Euntaek], Choi, Y.[Yeonhee], Paik, J.[Joonki],
Adaptive Camouflage Pattern Generation to Different Environments Via Content-Aware Style Transfer,
ICIP23(1645-1649)
IEEE DOI 2312
BibRef

Pytlarz, M.[Monika], Onicas, A.[Adrian], Crimi, A.[Alessandro],
Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings,
ICIP23(1120-1124)
IEEE DOI 2312
BibRef

Wang, J.S.[Jia-Shun], Li, X.T.[Xue-Ting], Liu, S.[Sifei], de Mello, S.[Shalini], Gallo, O.[Orazio], Wang, X.L.[Xiao-Long], Kautz, J.[Jan],
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters,
CVPR23(8704-8714)
IEEE DOI 2309
BibRef

Lu, H.M.[Hao-Ming], Tunanyan, H.[Hazarapet], Wang, K.[Kai], Navasardyan, S.[Shant], Wang, Z.Y.[Zhang-Yang], Shi, H.[Humphrey],
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models to Learn Any Unseen Style,
CVPR23(14267-14276)
IEEE DOI 2309
BibRef

Zhang, Y.C.[Yue-Chen], He, Z.X.[Ze-Xin], Xing, J.[Jinbo], Yao, X.F.[Xu-Feng], Jia, J.Y.[Jia-Ya],
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization,
CVPR23(4242-4251)
IEEE DOI 2309
BibRef

Gunawan, A.[Agus], Kim, S.Y.[Soo Ye], Sim, H.[Hyeonjun], Lee, J.H.[Jae-Ho], Kiml, M.C.[Mun-Churl],
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer,
CVPR23(12460-12469)
IEEE DOI 2309
BibRef

Zhang, Y.X.[Yu-Xin], Huang, N.[Nisha], Tang, F.[Fan], Huang, H.B.[Hai-Bin], Ma, C.Y.[Chong-Yang], Dong, W.M.[Wei-Ming], Xu, C.S.[Chang-Sheng],
Inversion-based Style Transfer with Diffusion Models,
CVPR23(10146-10156)
IEEE DOI 2309
BibRef

Liu, K.H.[Kun-Hao], Zhan, F.N.[Fang-Neng], Chen, Y.[Yiwen], Zhang, J.H.[Jia-Hui], Yu, Y.C.[Ying-Chen], El Saddik, A.[Abdulmotaleb], Lu, S.J.[Shi-Jian], Xing, E.[Eric],
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields,
CVPR23(8338-8348)
IEEE DOI 2309
BibRef

Liang, K.[Kaisheng], Xiao, B.[Bin],
StyLess: Boosting the Transferability of Adversarial Examples,
CVPR23(8163-8172)
IEEE DOI 2309
BibRef

Huang, S.[Siyu], An, J.[Jie], Wei, D.L.[Dong-Lai], Luo, J.B.[Jie-Bo], Pfister, H.[Hanspeter],
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity,
CVPR23(5947-5956)
IEEE DOI 2309
BibRef

Tang, H.[Hao], Liu, S.[Songhua], Lin, T.W.[Tian-Wei], Huang, S.L.[Shao-Li], Li, F.[Fu], He, D.L.[Dong-Liang], Wang, X.C.[Xin-Chao],
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer,
CVPR23(18329-18338)
IEEE DOI 2309
BibRef

Wen, L.F.[Lin-Feng], Gao, C.Y.[Cheng-Ying], Zou, C.Q.[Chang-Qing],
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer,
CVPR23(18300-18309)
IEEE DOI 2309
BibRef

Pernice, W.M.[Wolfgang M.], Doron, M.[Michael], Quach, A.[Alex], Pratapa, A.[Aditya], Kenjeyev, S.[Sultan], de Veaux, N.[Nicholas], Hirano, M.[Michio], Caicedo, J.C.[Juan C.],
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy,
CVMI23(4326-4335)
IEEE DOI 2309
BibRef

Jandial, S.[Surgan], Deshmukh, S.[Shripad], Java, A.[Abhinav], Shahid, S.[Simra], Krishnamurthy, B.[Balaji],
Gatha: Relational Loss for enhancing text-based style transfer,
CVFAD23(3546-3551)
IEEE DOI 2309
BibRef

Liu, Z.S.[Zhi-Song], Wang, L.W.[Li-Wen], Siu, W.C.[Wan-Chi], Kalogeiton, V.[Vicky],
Name your style: text-guided artistic style transfer,
CVFAD23(3530-3534)
IEEE DOI 2309
BibRef

Hamazaspyan, M.[Mark], Navasardyan, S.[Shant],
Diffusion-Enhanced PatchMatch: A Framework for Arbitrary Style Transfer with Diffusion Models,
GCV23(797-805)
IEEE DOI 2309
BibRef

Bae, K.[Kangmin], Kim, H.I.[Hyung-Il], Kwon, Y.J.[Yong-Jin], Moon, J.[Jinyoung],
Unsupervised Bidirectional Style Transfer Network using Local Feature Transform Module,
GCV23(740-749)
IEEE DOI 2309
BibRef

Yan, X.[Xiao], Lu, Y.[Yang], Shuai, J.C.[Jun-Cheng], Zhang, S.Y.[San-Yuan],
Style Image Harmonization via Global-local Style Mutual Guided,
ACCV22(VII:238-254).
Springer DOI 2307
BibRef

Luo, X.[Xuan], Han, Z.[Zhen], Yang, L.[Linkang],
Progressive Attentional Manifold Alignment for Arbitrary Style Transfer,
ACCV22(VII:134-150).
Springer DOI 2307
BibRef

Wang, J.B.[Jian-Bo], Yang, H.[Huan], Fu, J.L.[Jian-Long], Yamasaki, T.[Toshihiko], Guo, B.[Baining],
Fine-grained Image Style Transfer with Visual Transformers,
ACCV22(III:427-443).
Springer DOI 2307
BibRef

Ruta, D.[Dan], Gilbert, A.[Andrew], Motiian, S.[Saeid], Faieta, B.[Baldo], Lin, Z.[Zhe], Collomosse, J.[John],
Hypernst: Hyper-networks for Neural Style Transfer,
VisArt22(201-217).
Springer DOI 2304
BibRef

Kinli, F.[Furkan], Özcan, B.[Baris], Kiraç, F.[Furkan],
Reversing Image Signal Processors by Reverse Style Transferring,
AIM22(688-698).
Springer DOI 2304
BibRef

Bhatt, G.[Gaurav], Balasubramanian, V.N.[Vineeth N],
Learning Style Subspaces for Controllable Unpaired Domain Translation,
WACV23(4209-4218)
IEEE DOI 2302
Measurement, Interpolation, Image synthesis, Computational modeling, Aerospace electronics, ethical computer vision BibRef

Li, B.C.[Bing-Chuan], Cai, S.F.[Shao-Fei], Liu, W.[Wei], Zhang, P.[Peng], He, Q.[Qian], Hua, M.[Miao], Yi, Z.L.[Zi-Li],
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings,
WACV23(189-197)
IEEE DOI 2302
Learning systems, Photorealism, Codes, Adaptive systems, Neural networks, Semantics, Aerospace electronics, Visualization BibRef

Chiu, T.Y.[Tai-Yin], Gurari, D.[Danna],
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer,
WACV23(249-258)
IEEE DOI 2302
Photorealism, Adaptation models, Codes, Fuses, Boosting, Algorithms: Computational photography, image and video synthesis BibRef

Ma, Y.[Yingnan], Zhao, C.Q.[Chen-Qiu], Basu, A.[Anup], Li, X.D.[Xu-Dong],
RAST: Restorable Arbitrary Style Transfer via Multi-restoration,
WACV23(331-340)
IEEE DOI 2302
Interference, Image restoration, Iterative methods, Faces, Algorithms: Computational photography, adversarial attack and defense methods BibRef

Yim, J.H.[Jong-Hwa], Kim, M.[Minjae],
Style-Guided Inference of Transformer for High-resolution Image Synthesis,
WACV23(1745-1755)
IEEE DOI 2302
Codes, Image synthesis, Transformers, Probability distribution, Algorithms: Computational photography, image and video synthesis BibRef

An, J.[Jie], Li, T.[Tao], Huang, H.Z.[Hao-Zhi], Ma, J.W.[Jin-Wen], Luo, J.B.[Jie-Bo],
Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond,
WACV23(4073-4083)
IEEE DOI 2302
Transforms, Network architecture, Feature extraction, Real-time systems, Computational efficiency, image and video synthesis BibRef

Simsar, E.[Enis], Kocasari, U.[Umut], Er, E.G.[Ezgi Gülperi], Yanardag, P.[Pinar],
Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs,
WACV23(4720-4729)
IEEE DOI 2302
Image synthesis, Manuals, Aerospace electronics, Task analysis, Optimization, Algorithms: Explainable, fair, accountable, visual reasoning BibRef

Lee, J.[Juyong], Ahn, S.[Seokjun], Park, J.[Jaesik],
Style-Agnostic Reinforcement Learning,
ECCV22(XXIX:604-620).
Springer DOI 2211

WWW Link. Style transfer and adversarial learning. 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.J.[Zi-Jie], 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.W.[Zi-Wei], 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.Y.[Shu-Yang], Zhang, B.[Bo], Bao, J.M.[Jian-Min], 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

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

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.Y.[Shi-Yin], Li, W.B.[Wen-Bin], Wu, J.[Jing], Lai, Y.K.[Yu-Kun], Shi, Y.H.[Ying-Huan], 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], Nie, Y.W.[Yong-Wei],
Learning Dynamic Style Kernels for Artistic Style Transfer,
CVPR23(10083-10092)
IEEE DOI 2309
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

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

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.C.[Xuan-Chi], Yang, T.[Tao], Wang, Y.W.[Yu-Wang], 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

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

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 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
StyleGAN Image Synthesis, Image Generation .


Last update:Jun 5, 2024 at 10:22:22