{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T22:17:34Z","timestamp":1730326654683,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","funder":[{"name":"Shanghai Sailing Program","award":["22YF1420300"]},{"name":"Shanghai Science and Technology Commission","award":["21511101200"]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 72192821"],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Elite Scientists Sponsorship Program by CAST","award":["2022QNRC001"]},{"name":"CCF-Tencent Open Research Fund","award":["RAGR20220121"]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,6]]},"DOI":"10.1145\/3595916.3626438","type":"proceedings-article","created":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T11:34:41Z","timestamp":1704108881000},"page":"1-7","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Geometric Style Transfer for Face Portraits"],"prefix":"10.1145","author":[{"ORCID":"http:\/\/orcid.org\/0009-0000-3960-087X","authenticated-orcid":false,"given":"Miaomiao","family":"Dai","sequence":"first","affiliation":[{"name":"DMCV, Shanghai Jiao Tong University, China"}]},{"ORCID":"http:\/\/orcid.org\/0009-0002-7758-5054","authenticated-orcid":false,"given":"Hao","family":"Yin","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1858-3358","authenticated-orcid":false,"given":"Ran","family":"Yi","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1653-4341","authenticated-orcid":false,"given":"Lizhuang","family":"Ma","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,1]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"2414","article-title":"Image style transfer using convolutional neural networks","author":"Leon","year":"2016","unstructured":"[ 1 ] Gatys, Leon A., Alexander S. Ecker , and Matthias Bethge . \" Image style transfer using convolutional neural networks .\" In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 2414 - 2423 . 2016 . [1] Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. \"Image style transfer using convolutional neural networks.\" In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2414-2423. 2016.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_2_1","first-page":"1501","article-title":"Arbitrary style transfer in real-time with adaptive instance normalization","author":"Belongie Serge","year":"2017","unstructured":"[ 2 ] Huang, Xun, and Serge Belongie . \" Arbitrary style transfer in real-time with adaptive instance normalization .\" In Proceedings of the IEEE international conference on computer vision , pp. 1501 - 1510 . 2017 . [2] Huang, Xun, and Serge Belongie. \"Arbitrary style transfer in real-time with adaptive instance normalization.\" In Proceedings of the IEEE international conference on computer vision, pp. 1501-1510. 2017.","journal-title":"Proceedings of the IEEE international conference on computer vision"},{"key":"e_1_3_2_1_3_1","first-page":"694","volume-title":"14th European Conference","author":"Alahi Alexandre","year":"2016","unstructured":"[ 3 ] Johnson, Justin, Alexandre Alahi , and Li Fei-Fei . \" Perceptual losses for real-time style transfer and super-resolution.\" In Computer Vision\u2013 ECCV 2016 : 14th European Conference , Amsterdam, The Netherlands, October 11-14, 2016 , Proceedings, Part II 14, pp. 694 - 711 . Springer International Publishing , 2016. [3] Johnson, Justin, Alexandre Alahi, and Li Fei-Fei. \"Perceptual losses for real-time style transfer and super-resolution.\" In Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14, pp. 694-711. Springer International Publishing, 2016."},{"issue":"4","key":"e_1_3_2_1_4_1","first-page":"1","article-title":"Painting style transfer for head portraits using convolutional neural networks","volume":"35","author":"Elgharib Mohamed","year":"2016","unstructured":"[ 4 ] Selim, Ahmed, Mohamed Elgharib , and Linda Doyle . \" Painting style transfer for head portraits using convolutional neural networks .\" ACM Transactions on Graphics (ToG) 35 , no. 4 ( 2016 ): 1 - 18 . [4] Selim, Ahmed, Mohamed Elgharib, and Linda Doyle. \"Painting style transfer for head portraits using convolutional neural networks.\" ACM Transactions on Graphics (ToG) 35, no. 4 (2016): 1-18.","journal-title":"ACM Transactions on Graphics (ToG)"},{"issue":"4","key":"e_1_3_2_1_5_1","first-page":"20","article-title":"Variations on a theme as the essence of imagination","volume":"247","author":"Douglas","year":"1982","unstructured":"[ 5 ] Hofstadter, Douglas R. \" Variations on a theme as the essence of imagination .\" Scientific American 247 , no. 4 ( 1982 ): 20 . [5] Hofstadter, Douglas R. \"Variations on a theme as the essence of imagination.\" Scientific American 247, no. 4 (1982): 20.","journal-title":"Scientific American"},{"key":"e_1_3_2_1_6_1","first-page":"246","volume-title":"Proceedings, Part XXVI 16","author":"Nicholas Kolkin Sunnie SY","year":"2020","unstructured":"[ 6 ] Kim, Sunnie SY , Nicholas Kolkin , Jason Salavon , and Gregory Shakhnarovich . \" Deformable style transfer.\" In Computer Vision\u2013ECCV 2020 : 16th European Conference, Glasgow, UK, August 23\u201328, 2020 , Proceedings, Part XXVI 16 , pp. 246 - 261 . Springer International Publishing , 2020. [6] Kim, Sunnie SY, Nicholas Kolkin, Jason Salavon, and Gregory Shakhnarovich. \"Deformable style transfer.\" In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXVI 16, pp. 246-261. Springer International Publishing, 2020."},{"key":"e_1_3_2_1_7_1","unstructured":"[\n 7\n ] Liu Xiao-Chang Xuan-Yi Li Ming-Ming Cheng and Peter Hall. \"Geometric style transfer.\" arXiv preprint arXiv:2007.05471 (2020). [7] Liu Xiao-Chang Xuan-Yi Li Ming-Ming Cheng and Peter Hall. \"Geometric style transfer.\" arXiv preprint arXiv:2007.05471 (2020)."},{"key":"e_1_3_2_1_8_1","first-page":"7972","article-title":"Adaptive convolutions for structure-aware style transfer","author":"Zoss Gaspard","year":"2021","unstructured":"[ 8 ] Chandran, Prashanth, Gaspard Zoss , Paulo Gotardo , Markus Gross , and Derek Bradley . \" Adaptive convolutions for structure-aware style transfer .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 7972 - 7981 . 2021 . [8] Chandran, Prashanth, Gaspard Zoss, Paulo Gotardo, Markus Gross, and Derek Bradley. \"Adaptive convolutions for structure-aware style transfer.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 7972-7981. 2021.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_9_1","first-page":"3702","article-title":"Learning to warp for style transfer","author":"Yang Yong-Liang","year":"2021","unstructured":"[9]Liu, Xiao-Chang, Yong-Liang Yang , and Peter Hall . \" Learning to warp for style transfer .\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition , pp. 3702 - 3711 . 2021 . [9]Liu, Xiao-Chang, Yong-Liang Yang, and Peter Hall. \"Learning to warp for style transfer.\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3702-3711. 2021.","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_10_1","first-page":"7834","article-title":"Industrial style transfer with large-scale geometric warping and content preservation","author":"Guo Fei","year":"2022","unstructured":"[ 10 ] Yang, Jinchao, Fei Guo , Shuo Chen , Jun Li , and Jian Yang . \" Industrial style transfer with large-scale geometric warping and content preservation .\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition , pp. 7834 - 7843 . 2022 . [10] Yang, Jinchao, Fei Guo, Shuo Chen, Jun Li, and Jian Yang. \"Industrial style transfer with large-scale geometric warping and content preservation.\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7834-7843. 2022.","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_11_1","first-page":"2479","article-title":"Combining markov random fields and convolutional neural networks for image synthesis","author":"Wand Michael","year":"2016","unstructured":"[ 11 ] Li, Chuan, and Michael Wand . \" Combining markov random fields and convolutional neural networks for image synthesis .\" In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 2479 - 2486 . 2016 . [11] Li, Chuan, and Michael Wand. \"Combining markov random fields and convolutional neural networks for image synthesis.\" In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2479-2486. 2016.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"volume-title":"Feed-forward synthesis of textures and stylized images.\" arXiv preprint arXiv:1603.03417","year":"2016","author":"Lebedev Vadim","key":"e_1_3_2_1_12_1","unstructured":"[ 12 ] Ulyanov, Dmitry, Vadim Lebedev , Andrea Vedaldi , and Victor Lempitsky . \" Texture networks : Feed-forward synthesis of textures and stylized images.\" arXiv preprint arXiv:1603.03417 ( 2016 ). [12] Ulyanov, Dmitry, Vadim Lebedev, Andrea Vedaldi, and Victor Lempitsky. \"Texture networks: Feed-forward synthesis of textures and stylized images.\" arXiv preprint arXiv:1603.03417 (2016)."},{"key":"e_1_3_2_1_13_1","unstructured":"[\n 13\n ] Song Jiaming Chenlin Meng and Stefano Ermon. \"Denoising diffusion implicit models.\" arXiv preprint arXiv:2010.02502 (2020). [13] Song Jiaming Chenlin Meng and Stefano Ermon. \"Denoising diffusion implicit models.\" arXiv preprint arXiv:2010.02502 (2020)."},{"volume-title":"8780-8794","year":"2021","author":"Nichol Alexander","key":"e_1_3_2_1_14_1","unstructured":"[ 14 ] Dhariwal, Prafulla, and Alexander Nichol . \" Diffusion models beat gans on image synthesis.\" Advances in neural information processing systems 34 ( 2021 ): 8780-8794 . [14] Dhariwal, Prafulla, and Alexander Nichol. \"Diffusion models beat gans on image synthesis.\" Advances in neural information processing systems 34 (2021): 8780-8794."},{"key":"e_1_3_2_1_15_1","first-page":"17981","article-title":"Structured denoising diffusion models in discrete state-spaces","volume":"34","author":"Johnson Daniel D.","year":"2021","unstructured":"[ 15 ] Austin, Jacob, Daniel D. Johnson , Jonathan Ho , Daniel Tarlow , and Rianne Van Den Berg . \" Structured denoising diffusion models in discrete state-spaces .\" Advances in Neural Information Processing Systems 34 ( 2021 ): 17981 - 17993 . [15] Austin, Jacob, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, and Rianne Van Den Berg. \"Structured denoising diffusion models in discrete state-spaces.\" Advances in Neural Information Processing Systems 34 (2021): 17981-17993.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_16_1","first-page":"12454","article-title":"Argmax flows and multinomial diffusion: Learning categorical distributions","volume":"34","author":"Nielsen Didrik","year":"2021","unstructured":"[ 16 ] Hoogeboom, Emiel, Didrik Nielsen , Priyank Jaini , Patrick Forr\u00e9 , and Max Welling . \" Argmax flows and multinomial diffusion: Learning categorical distributions .\" Advances in Neural Information Processing Systems 34 ( 2021 ): 12454 - 12465 . [16] Hoogeboom, Emiel, Didrik Nielsen, Priyank Jaini, Patrick Forr\u00e9, and Max Welling. \"Argmax flows and multinomial diffusion: Learning categorical distributions.\" Advances in Neural Information Processing Systems 34 (2021): 12454-12465.","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"1","key":"e_1_3_2_1_17_1","first-page":"2249","article-title":"Cascaded diffusion models for high fidelity image generation","volume":"23","author":"Saharia Chitwan","year":"2022","unstructured":"[ 17 ] Ho, Jonathan, Chitwan Saharia , William Chan , David J. Fleet , Mohammad Norouzi , and Tim Salimans . \" Cascaded diffusion models for high fidelity image generation .\" The Journal of Machine Learning Research 23 , no. 1 ( 2022 ): 2249 - 2281 . [17] Ho, Jonathan, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, and Tim Salimans. \"Cascaded diffusion models for high fidelity image generation.\" The Journal of Machine Learning Research 23, no. 1 (2022): 2249-2281.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_1_18_1","first-page":"862","article-title":"Artflow: Unbiased image style transfer via reversible neural flows","author":"Huang Siyu","year":"2021","unstructured":"[ 18 ] An, Jie, Siyu Huang , Yibing Song , Dejing Dou , Wei Liu , and Jiebo Luo . \" Artflow: Unbiased image style transfer via reversible neural flows .\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition , pp. 862 - 871 . 2021 . [18] An, Jie, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, and Jiebo Luo. \"Artflow: Unbiased image style transfer via reversible neural flows.\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 862-871. 2021.","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_19_1","first-page":"6148","article-title":"Convolutional neural network architecture for geometric matching","author":"Arandjelovic Relja","year":"2017","unstructured":"[19]Rocco, Ignacio, Relja Arandjelovic , and Josef Sivic . \" Convolutional neural network architecture for geometric matching .\" In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 6148 - 6157 . 2017 . [19]Rocco, Ignacio, Relja Arandjelovic, and Josef Sivic. \"Convolutional neural network architecture for geometric matching.\" In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 6148-6157. 2017.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_20_1","first-page":"3703","article-title":"\"Synthesizing normalized faces from facial identity features","author":"Belanger David","year":"2017","unstructured":"[20]Cole, Forrester, David Belanger , Dilip Krishnan , Aaron Sarna , Inbar Mosseri , and William T. Freeman . \"Synthesizing normalized faces from facial identity features .\" In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 3703 - 3712 . 2017 . [20]Cole, Forrester, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, and William T. Freeman. \"Synthesizing normalized faces from facial identity features.\" In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3703-3712. 2017.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"issue":"4","key":"e_1_3_2_1_21_1","first-page":"1","article-title":"Neural best-buddies: Sparse cross-domain correspondence","volume":"37","author":"Liao Jing","year":"2018","unstructured":"[ 21 ] Aberman, Kfir, Jing Liao , Mingyi Shi , Dani Lischinski , Baoquan Chen , and Daniel Cohen-Or . \" Neural best-buddies: Sparse cross-domain correspondence .\" ACM Transactions on Graphics (TOG) 37 , no. 4 ( 2018 ): 1 - 14 . [21] Aberman, Kfir, Jing Liao, Mingyi Shi, Dani Lischinski, Baoquan Chen, and Daniel Cohen-Or. \"Neural best-buddies: Sparse cross-domain correspondence.\" ACM Transactions on Graphics (TOG) 37, no. 4 (2018): 1-14.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.neunet.2020.08.011","article-title":"CariGAN: Caricature generation through weakly paired adversarial learning","volume":"132","author":"Xiong Wei","year":"2020","unstructured":"[ 22 ] Li, Wenbin, Wei Xiong , Haofu Liao , Jing Huo , Yang Gao , and Jiebo Luo . \" CariGAN: Caricature generation through weakly paired adversarial learning .\" Neural Networks 132 ( 2020 ): 66 - 74 . [22] Li, Wenbin, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, and Jiebo Luo. \"CariGAN: Caricature generation through weakly paired adversarial learning.\" Neural Networks 132 (2020): 66-74.","journal-title":"Neural Networks"},{"issue":"4","key":"e_1_3_2_1_23_1","first-page":"1","article-title":"The face of art: landmark detection and geometric style in portraits","volume":"38","author":"Newman Yael","year":"2019","unstructured":"[ 23 ] Yaniv, Jordan, Yael Newman , and Ariel Shamir . \" The face of art: landmark detection and geometric style in portraits .\" ACM Transactions on graphics (TOG) 38 , no. 4 ( 2019 ): 1 - 15 . [23] Yaniv, Jordan, Yael Newman, and Ariel Shamir. \"The face of art: landmark detection and geometric style in portraits.\" ACM Transactions on graphics (TOG) 38, no. 4 (2019): 1-15.","journal-title":"ACM Transactions on graphics (TOG)"},{"key":"e_1_3_2_1_24_1","first-page":"10762","article-title":"\"Warpgan: Automatic caricature generation","author":"Deb Debayan","year":"2019","unstructured":"[ 24 ] Shi, Yichun, Debayan Deb , and Anil K. Jain . \"Warpgan: Automatic caricature generation .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 10762 - 10771 . 2019 . [24] Shi, Yichun, Debayan Deb, and Anil K. Jain. \"Warpgan: Automatic caricature generation.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 10762-10771. 2019.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"[\n 25\n ] Creswell Antonia Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta and Anil A. Bharath. \"Generative adversarial networks: An overview.\" IEEE signal processing magazine 35 no. 1 (2018): 53-65. [25] Creswell Antonia Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta and Anil A. Bharath. \"Generative adversarial networks: An overview.\" IEEE signal processing magazine 35 no. 1 (2018): 53-65.","DOI":"10.1109\/MSP.2017.2765202"},{"key":"e_1_3_2_1_26_1","first-page":"8121","article-title":"Gmflow: Learning optical flow via global matching","author":"Zhang Jing","year":"2022","unstructured":"[ 26 ] Xu, Haofei, Jing Zhang , Jianfei Cai , Hamid Rezatofighi , and Dacheng Tao . \" Gmflow: Learning optical flow via global matching .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 8121 - 8130 . 2022 . [26] Xu, Haofei, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, and Dacheng Tao. \"Gmflow: Learning optical flow via global matching.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 8121-8130. 2022.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_27_1","first-page":"325","article-title":"Bisenet: Bilateral segmentation network for real-time semantic segmentation","author":"Wang Jingbo","year":"2018","unstructured":"[ 27 ] Yu, Changqian, Jingbo Wang , Chao Peng , Changxin Gao , Gang Yu , and Nong Sang . \" Bisenet: Bilateral segmentation network for real-time semantic segmentation .\" In Proceedings of the European conference on computer vision (ECCV) , pp. 325 - 341 . 2018 . [27] Yu, Changqian, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang. \"Bisenet: Bilateral segmentation network for real-time semantic segmentation.\" In Proceedings of the European conference on computer vision (ECCV), pp. 325-341. 2018.","journal-title":"Proceedings of the European conference on computer vision (ECCV)"},{"key":"e_1_3_2_1_28_1","unstructured":"[\n 28\n ] Simonyan Karen and Andrew Zisserman. \"Very deep convolutional networks for large-scale image recognition.\" arXiv preprint arXiv:1409.1556 (2014). [28] Simonyan Karen and Andrew Zisserman. \"Very deep convolutional networks for large-scale image recognition.\" arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_29_1","first-page":"5143","article-title":"Cross-domain correspondence learning for exemplar-based image translation","author":"Zhang Bo","year":"2020","unstructured":"[ 29 ] Zhang, Pan, Bo Zhang , Dong Chen , Lu Yuan , and Fang Wen . \" Cross-domain correspondence learning for exemplar-based image translation .\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition , pp. 5143 - 5153 . 2020 . [29] Zhang, Pan, Bo Zhang, Dong Chen, Lu Yuan, and Fang Wen. \"Cross-domain correspondence learning for exemplar-based image translation.\" In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5143-5153. 2020.","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_30_1","first-page":"4401","article-title":"A style-based generator architecture for generative adversarial networks","author":"Laine Samuli","year":"2019","unstructured":"[ 30 ] Karras, Tero, Samuli Laine , and Timo Aila . \" A style-based generator architecture for generative adversarial networks .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 4401 - 4410 . 2019 . [30] Karras, Tero, Samuli Laine, and Timo Aila. \"A style-based generator architecture for generative adversarial networks.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 4401-4410. 2019.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_31_1","first-page":"6649","article-title":"Adaattn: Revisit attention mechanism in arbitrary neural style transfer","author":"Lin Tianwei","year":"2021","unstructured":"[ 31 ] Liu, Songhua, Tianwei Lin , Dongliang He , Fu Li , Meiling Wang , Xin Li , Zhengxing Sun , Qian Li , and Errui Ding . \" Adaattn: Revisit attention mechanism in arbitrary neural style transfer .\" In Proceedings of the IEEE\/CVF international conference on computer vision , pp. 6649 - 6658 . 2021 . [31] Liu, Songhua, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, and Errui Ding. \"Adaattn: Revisit attention mechanism in arbitrary neural style transfer.\" In Proceedings of the IEEE\/CVF international conference on computer vision, pp. 6649-6658. 2021.","journal-title":"Proceedings of the IEEE\/CVF international conference on computer vision"},{"key":"e_1_3_2_1_32_1","unstructured":"[\n 32\n ] Heusel Martin Hubert Ramsauer Thomas Unterthiner Bernhard Nessler and Sepp Hochreiter. \"Gans trained by a two time-scale update rule converge to a local nash equilibrium.\" Advances in neural information processing systems 30 (2017). [32] Heusel Martin Hubert Ramsauer Thomas Unterthiner Bernhard Nessler and Sepp Hochreiter. \"Gans trained by a two time-scale update rule converge to a local nash equilibrium.\" Advances in neural information processing systems 30 (2017)."},{"volume-title":"stability, and variation.\" arXiv preprint arXiv:1710.10196","year":"2017","author":"Aila Timo","key":"e_1_3_2_1_33_1","unstructured":"[ 33 ] Karras, Tero, Timo Aila , Samuli Laine , and Jaakko Lehtinen . \" Progressive growing of gans for improved quality , stability, and variation.\" arXiv preprint arXiv:1710.10196 ( 2017 ). [33] Karras, Tero, Timo Aila, Samuli Laine, and Jaakko Lehtinen. \"Progressive growing of gans for improved quality, stability, and variation.\" arXiv preprint arXiv:1710.10196 (2017)."},{"key":"e_1_3_2_1_34_1","first-page":"1125","article-title":"\"Image-to-image translation with conditional adversarial networks","author":"Zhu Jun-Yan","year":"2017","unstructured":"[ 34 ] Isola, Phillip, Jun-Yan Zhu , Tinghui Zhou , and Alexei A. Efros . \"Image-to-image translation with conditional adversarial networks .\" In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 1125 - 1134 . 2017 . [34] Isola, Phillip, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros. \"Image-to-image translation with conditional adversarial networks.\" In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1125-1134. 2017.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_35_1","first-page":"8798","article-title":"High-resolution image synthesis and semantic manipulation with conditional gans","author":"Liu Ming-Yu","year":"2018","unstructured":"[ 35 ] Wang, Ting-Chun, Ming-Yu Liu , Jun-Yan Zhu , Andrew Tao , Jan Kautz , and Bryan Catanzaro . \" High-resolution image synthesis and semantic manipulation with conditional gans .\" In Proceedings of the IEEE conference on computer vision and pattern recognition , pp. 8798 - 8807 . 2018 . [35] Wang, Ting-Chun, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. \"High-resolution image synthesis and semantic manipulation with conditional gans.\" In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 8798-8807. 2018.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_36_1","first-page":"2337","article-title":"Semantic image synthesis with spatially-adaptive normalization","author":"Liu Ming-Yu","year":"2019","unstructured":"[ 36 ] Park, Taesung, Ming-Yu Liu , Ting-Chun Wang , and Jun-Yan Zhu . \" Semantic image synthesis with spatially-adaptive normalization .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 2337 - 2346 . 2019 . [36] Park, Taesung, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu. \"Semantic image synthesis with spatially-adaptive normalization.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 2337-2346. 2019.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_37_1","first-page":"2223","article-title":"\"Unpaired image-to-image translation using cycle-consistent adversarial networks","author":"Park Taesung","year":"2017","unstructured":"[ 37 ] Zhu, Jun-Yan, Taesung Park , Phillip Isola , and Alexei A. Efros . \"Unpaired image-to-image translation using cycle-consistent adversarial networks .\" In Proceedings of the IEEE international conference on computer vision , pp. 2223 - 2232 . 2017 . [37] Zhu, Jun-Yan, Taesung Park, Phillip Isola, and Alexei A. Efros. \"Unpaired image-to-image translation using cycle-consistent adversarial networks.\" In Proceedings of the IEEE international conference on computer vision, pp. 2223-2232. 2017.","journal-title":"Proceedings of the IEEE international conference on computer vision"},{"key":"e_1_3_2_1_38_1","first-page":"2849","article-title":"Dualgan: Unsupervised dual learning for image-to-image translation","author":"Zhang Hao","year":"2017","unstructured":"[ 38 ] Yi, Zili, Hao Zhang , Ping Tan , and Minglun Gong . \" Dualgan: Unsupervised dual learning for image-to-image translation .\" In Proceedings of the IEEE international conference on computer vision , pp. 2849 - 2857 . 2017 . [38] Yi, Zili, Hao Zhang, Ping Tan, and Minglun Gong. \"Dualgan: Unsupervised dual learning for image-to-image translation.\" In Proceedings of the IEEE international conference on computer vision, pp. 2849-2857. 2017.","journal-title":"Proceedings of the IEEE international conference on computer vision"},{"key":"e_1_3_2_1_39_1","first-page":"172","article-title":"Multimodal unsupervised image-to-image translation","author":"Liu Ming-Yu","year":"2018","unstructured":"[ 39 ] Huang, Xun, Ming-Yu Liu , Serge Belongie , and Jan Kautz . \" Multimodal unsupervised image-to-image translation .\" In Proceedings of the European conference on computer vision (ECCV) , pp. 172 - 189 . 2018 . [39] Huang, Xun, Ming-Yu Liu, Serge Belongie, and Jan Kautz. \"Multimodal unsupervised image-to-image translation.\" In Proceedings of the European conference on computer vision (ECCV), pp. 172-189. 2018.","journal-title":"Proceedings of the European conference on computer vision (ECCV)"},{"key":"e_1_3_2_1_40_1","first-page":"8808","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Chen Qifeng","year":"2018","unstructured":"[ 40 ] Qi, Xiaojuan, Qifeng Chen , Jiaya Jia , and Vladlen Koltun . \"Semi-parametric image synthesis.\" In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pp. 8808 - 8816 . 2018 . [40] Qi, Xiaojuan, Qifeng Chen, Jiaya Jia, and Vladlen Koltun. \"Semi-parametric image synthesis.\" In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8808-8816. 2018."},{"key":"e_1_3_2_1_41_1","first-page":"1495","article-title":"Example-guided style-consistent image synthesis from semantic labeling","author":"Yang Guo-Ye","year":"2019","unstructured":"[ 41 ] Wang, Miao, Guo-Ye Yang , Ruilong Li , Run-Ze Liang , Song-Hai Zhang , Peter M. Hall , and Shi-Min Hu . \" Example-guided style-consistent image synthesis from semantic labeling .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 1495 - 1504 . 2019 . [41] Wang, Miao, Guo-Ye Yang, Ruilong Li, Run-Ze Liang, Song-Hai Zhang, Peter M. Hall, and Shi-Min Hu. \"Example-guided style-consistent image synthesis from semantic labeling.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 1495-1504. 2019.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_42_1","first-page":"8052","article-title":"Deep exemplar-based video colorization","author":"He Mingming","year":"2019","unstructured":"[ 42 ] Zhang, Bo, Mingming He , Jing Liao , Pedro V. Sander , Lu Yuan , Amine Bermak , and Dong Chen . \" Deep exemplar-based video colorization .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 8052 - 8061 . 2019 . [42] Zhang, Bo, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, and Dong Chen. \"Deep exemplar-based video colorization.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 8052-8061. 2019.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_43_1","first-page":"14618","article-title":"Styleformer: Real-time arbitrary style transfer via parametric style composition","author":"Hu Zhihao","year":"2021","unstructured":"[ 43 ] Wu, Xiaolei, Zhihao Hu , Lu Sheng , and Dong Xu . \" Styleformer: Real-time arbitrary style transfer via parametric style composition .\" In Proceedings of the IEEE\/CVF International Conference on Computer Vision , pp. 14618 - 14627 . 2021 . [43] Wu, Xiaolei, Zhihao Hu, Lu Sheng, and Dong Xu. \"Styleformer: Real-time arbitrary style transfer via parametric style composition.\" In Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14618-14627. 2021.","journal-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision"},{"key":"e_1_3_2_1_44_1","first-page":"11326","article-title":"Stytr2: Image style transfer with transformers","author":"Tang Fan","year":"2022","unstructured":"[ 44 ] Deng, Yingying, Fan Tang , Weiming Dong , Chongyang Ma , Xingjia Pan , Lei Wang , and Changsheng Xu . \" Stytr2: Image style transfer with transformers .\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition , pp. 11326 - 11336 . 2022 . [44] Deng, Yingying, Fan Tang, Weiming Dong, Chongyang Ma, Xingjia Pan, Lei Wang, and Changsheng Xu. \"Stytr2: Image style transfer with transformers.\" In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 11326-11336. 2022.","journal-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition"}],"event":{"name":"MMAsia '23: ACM Multimedia Asia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Tainan Taiwan","acronym":"MMAsia '23"},"container-title":["ACM Multimedia Asia 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3595916.3626438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T11:43:04Z","timestamp":1704109384000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3595916.3626438"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,6]]},"references-count":44,"alternative-id":["10.1145\/3595916.3626438","10.1145\/3595916"],"URL":"https:\/\/doi.org\/10.1145\/3595916.3626438","relation":{},"subject":[],"published":{"date-parts":[[2023,12,6]]},"assertion":[{"value":"2024-01-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}