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With the development of the convolutional neural network, image style transfer has drawn increasing attention.
Stylebank: An explicit representation for neural image style transfer
Chen, D., Yuan, L., Liao, J., Yu, N., Hua, G.: · 1906
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Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: · 2004
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Style transfer via image component analysis
Zhang, W., Cao, C., Chen, S., Liu, J., Tang, X.: · 2013
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
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Microsoft COCO: Common Objects in Context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
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Adam: A Method for Stochastic Optimization
Kingma, D.P., Ba, J.: · 2014
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Understanding deep image representations by inverting them
Mahendran, A., Vedaldi, A.: · 2015
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A neural algorithm of artistic style
Gatys, L.A., Ecker, A.S., Bethge, M.: · 2015
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Image style transfer using convolutional neural networks
Gatys, L.A., Ecker, A.S., Bethge, M.: · 2016
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., Fei-Fei, L.: · 2016
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Precomputed real-time texture synthesis with markovian generative adversarial networks
Li, C., Wand, M.: · 2016
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Texture Networks: Feed-forward synthesis of textures and stylized images
Ulyanov, D., Lebedev, V., Vedaldi, A., Lempitsky, V.S.: · 2016
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A learned representation for artistic style
Dumoulin, V., Shlens, J., Kudlur, M.: · 2016
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Fast patch-based style transfer of arbitrary style
Chen, T.Q., Schmidt, M.: · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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Painter by numbers, wikiart (2016)
Nichol, K.: · 2016
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Fashioning with networks: neural style transfer to design clothes
Date, P., Ganesan, A., Oates, T.: · 2017
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Coherent online video style transfer
Chen, D., Liao, J., Yuan, L., Yu, N., Hua, G.: · 2017
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Photo Stylistic Brush: Robust style transfer via superpixel-based bipartite graph
Liu, J., Yang, W., Sun, X., Zeng, W.: · 2017
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Partial style transfer using weakly supervised semantic segmentation
Matsuo, S., Shimoda, W., Yanai, K.: · 2017
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Son of Zorn’s Lemma: Targeted style transfer using instance-aware semantic segmentation
Castillo, C., De, S., Han, X., Singh, B., Yadav, A.K., Goldstein, T.: · 2017
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Diversified texture synthesis with feed-forward networks
Li, Y., Fang, C., Yang, J., Wang, Z., Lu, X., Yang, M.H.: · 2017
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
Huang, X., Belongie, S.: · 2017
Cited alongside, same era.
Universal style transfer via feature transforms
Li, Y., Fang, C., Yang, J., Wang, Z., Lu, X., Yang, M.H.: · 2017
Cited alongside, same era.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: · 2017
Cited alongside, same era.
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Ulyanov, D., Vedaldi, A., Lempitsky, V.: · 2017
Cited alongside, same era.
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Wang, H., Zhu, Y., Adam, H., Yuille, A., Chen, L.C.: · 2020
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End-to-End Video Instance Segmentation with Transformers
Wang, Y., Xu, Z., Wang, X., Shen, C., Cheng, B., Shen, H., Xia, H.: · 2020
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Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
Zheng, S., Lu, J., Zhao, H., Zhu, X., Luo, Z., Wang, Y., Fu, Y., Feng, J., Xiang, T., Torr, P.H., et al.: · 2020
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Hand-Transformer: Non-autoregressive structured modeling for 3d hand pose estimation
Huang, L., Tan, J., Liu, J., Yuan, J.: · 2020
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HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation
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Multi-style generative network for real-time transfer
Zhang, H., Dana, K.: · 2018
Cited alongside, same era.
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
Sheng, L., Lin, Z., Shao, J., Wang, X.: · 2018
Cited alongside, same era.
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
Jing, Y., Liu, Y., Yang, Y., Feng, Z., Yu, Y., Tao, D., Song, M.: · 2018
Cited alongside, same era.
Style-Controlled synthesis of clothing segments for fashion image manipulation
Kim, B.K., Kim, G., Lee, S.Y.: · 2019
Cited alongside, same era.
Swapgan: A multistage generative approach for person-to-person fashion style transfer
Liu, Y., Chen, W., Liu, L., Lew, M.S.: · 2019
Cited alongside, same era.
Depth-Aware Arbitrary style transfer using instance normalization
Kitov, V., Kozlovtsev, K., Mishustina, M.: · 2019
Cited alongside, same era.
Arbitrary style transfer with style-attentional networks
Park, D.Y., Lee, K.H.: · 2019
Cited alongside, same era.
Huang, L., Tan, J., Meng, J., Liu, J., Yuan, J.: · 2020
Later among the works it cites.
End-to-End Human Pose and Mesh Reconstruction with Transformer
Lin, K., Wang, L., Liu, Z.: · 2020
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TransPose: Towards Explainable Human Pose Estimation by Transformer
Yang, S., Quan, Z., Nie, M., Yang, W.: · 2020
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Generative pretraining from pixels
Chen, M., Radford, A., Child, R., Wu, J., Jun, H., Luan, D., Sutskever, I.: · 2020
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Learning texture transformer network for image super-resolution
Yang, F., Yang, H., Fu, J., Lu, H., Guo, B.: · 2020
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Neural Style Palette: A multimodal and interactive style transfer from a single style image
Virtusio, J.J., Ople, J.J.M., Tan, D.S., Tanveer, M., Kumar, N., Hua, K.L.: · 2021
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Stytrˆ2: Unbiased image style transfer with transformers
Deng, Y., Tang, F., Pan, X., Dong, W., Ma, C., Xu, C.: · 2021
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Artflow: Unbiased image style transfer via reversible neural flows
An, J., Huang, S., Song, Y., Dou, D., Liu, W., Luo, J.: · 2021
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Arbitrary video style transfer via multi-channel correlation
Deng, Y., Tang, F., Dong, W., Huang, H., Ma, C., Xu, C.: · 2021
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AdaAttN: Revisit attention mechanism in arbitrary neural style transfer
Liu, S., Lin, T., He, D., Li, F., Wang, M., Li, X., Sun, Z., Li, Q., Ding, E.: · 2021
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Domain-Aware Universal Style Transfer
Hong, K., Jeon, S., Yang, H., Fu, J., Byun, H.: · 2021
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Improving visual quality of image synthesis by a token-based generator with transformers
Zeng, Y., Yang, H., Chao, H., Wang, J., Fu, J.: · 2021
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Learning conditional knowledge distillation for degraded-reference image quality assessment
Zheng, H., Yang, H., Fu, J., Zha, Z.J., Luo, J.: · 2021
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Learning trajectory-aware transformer for video super-resolution
Liu, C., Yang, H., Fu, J., Qian, X.: · 2022
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Learning spatiotemporal frequency-transformer for compressed video super-resolution
Qiu, Z., Yang, H., Fu, J., Fu, D.: · 2022
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TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation
Liu, C., Yang, H., Fu, J., Qian, X.: · 2022
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