{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:31:01Z","timestamp":1770064261314,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":56,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Hong KongECS grant","award":["21209119"],"award-info":[{"award-number":["21209119"]}]},{"name":"National Natural Science Foundation of China","award":["61532002"],"award-info":[{"award-number":["61532002"]}]},{"name":"National Natural Science Foundation of China","award":["61802128"],"award-info":[{"award-number":["61802128"]}]},{"name":"National Natural Science Foundation of China","award":["61672237"],"award-info":[{"award-number":["61672237"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413958","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T12:26:18Z","timestamp":1602505578000},"page":"2655-2663","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["DeSmoothGAN: Recovering Details of Smoothed Images via Spatial Feature-wise Transformation and Full Attention"],"prefix":"10.1145","author":[{"given":"Yifei","family":"Huang","sequence":"first","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenhui","family":"Li","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohu","family":"Guo","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Liao","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenxu","family":"Zhang","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changbo","family":"Wang","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00911"},{"key":"e_1_3_2_2_2_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural machine translation by jointly learning to align and translate . In International Conference on Learning Representations (ICLR). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00338"},{"key":"e_1_3_2_2_4_1","unstructured":"Yunpeng Chen Yannis Kalantidis Jianshu Li Shuicheng Yan and Jiashi Feng. 2018. A^ 2-nets: Double attention networks. In Advances in Neural Information Processing Systems. 352--361.  Yunpeng Chen Yannis Kalantidis Jianshu Li Shuicheng Yan and Jiashi Feng. 2018. A^ 2-nets: Double attention networks. In Advances in Neural Information Processing Systems. 352--361."},{"key":"e_1_3_2_2_5_1","unstructured":"Harm de Vries Florian Strub J\u00e9r\u00e9mie Mary Hugo Larochelle Olivier Pietquin and Aaron Courville. 2017. Modulating Early Visual Processing by Language. In Advances in Neural Information Processing Systems. 6597--6607.  Harm de Vries Florian Strub J\u00e9r\u00e9mie Mary Hugo Larochelle Olivier Pietquin and Aaron Courville. 2017. Modulating Early Visual Processing by Language. In Advances in Neural Information Processing Systems. 6597--6607."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00011"},{"key":"e_1_3_2_2_8_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Dumoulin Vincent","year":"2017","unstructured":"Vincent Dumoulin , Jonathon Shlens , and Manjunath Kudlur . 2017 . A Learned Representation For Artistic Style . In International Conference on Learning Representations (ICLR). Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur. 2017. A Learned Representation For Artistic Style. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_9_1","volume-title":"Photo forensics","author":"Farid Hany","unstructured":"Hany Farid . 2016. Photo forensics . MIT Press . Hany Farid. 2016. Photo forensics .MIT Press."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"e_1_3_2_2_12_1","volume-title":"British Machine Vision Conference (BMVC). Article 114","author":"Vincent Dumoulin Golnaz Ghiasi Manjunath Kudlur","year":"2017","unstructured":"Manjunath Kudlur Vincent Dumoulin Golnaz Ghiasi , Honglak Lee and Jonathon Shlens . 2017 . Exploring the structure of a real-time, arbitrary neural artistic stylization network . In British Machine Vision Conference (BMVC). Article 114 , 12 pages. Manjunath Kudlur Vincent Dumoulin Golnaz Ghiasi, Honglak Lee and Jonathon Shlens. 2017. Exploring the structure of a real-time, arbitrary neural artistic stylization network. In British Machine Vision Conference (BMVC). Article 114, 12 pages."},{"key":"e_1_3_2_2_13_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in Neural Information Processing Systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in Neural Information Processing Systems. 2672--2680."},{"key":"e_1_3_2_2_14_1","volume-title":"Reducing the Dimensionality of Data with Neural Networks. Science","volume":"313","author":"Hinton G. E.","year":"2006","unstructured":"G. E. Hinton and R. R. Salakhutdinov . 2006 . Reducing the Dimensionality of Data with Neural Networks. Science , Vol. 313 , 5786 ( 2006 ), 504--507. G. E. Hinton and R. R. Salakhutdinov. 2006. Reducing the Dimensionality of Data with Neural Networks. Science, Vol. 313, 5786 (2006), 504--507."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_2_16_1","volume-title":"Deep Fusion Network for Image Completion. In ACM International Conference on Multimedia. 2033--2042","author":"Hong Xin","year":"2019","unstructured":"Xin Hong , Pengfei Xiong , Renhe Ji , and Haoqiang Fan . 2019 . Deep Fusion Network for Image Completion. In ACM International Conference on Multimedia. 2033--2042 . Xin Hong, Pengfei Xiong, Renhe Ji, and Haoqiang Fan. 2019. Deep Fusion Network for Image Completion. In ACM International Conference on Multimedia. 2033--2042."},{"key":"e_1_3_2_2_17_1","volume-title":"Gather-excite: Exploiting feature context in convolutional neural networks. In Advances in Neural Information Processing Systems. 9401--9411.","author":"Hu Jie","year":"2018","unstructured":"Jie Hu , Li Shen , Samuel Albanie , Gang Sun , and Andrea Vedaldi . 2018 a. Gather-excite: Exploiting feature context in convolutional neural networks. In Advances in Neural Information Processing Systems. 9401--9411. Jie Hu, Li Shen, Samuel Albanie, Gang Sun, and Andrea Vedaldi. 2018a. Gather-excite: Exploiting feature context in convolutional neural networks. In Advances in Neural Information Processing Systems. 9401--9411."},{"key":"e_1_3_2_2_18_1","volume-title":"Squeeze-and-Excitation Networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Hu Jie","year":"2018","unstructured":"Jie Hu , Li Shen , and Gang Sun . 2018 b. Squeeze-and-Excitation Networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Jie Hu, Li Shen, and Gang Sun. 2018b. Squeeze-and-Excitation Networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351084"},{"key":"e_1_3_2_2_22_1","volume-title":"International Conference on Machine Learning (ICML)","volume":"37","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift . In International Conference on Machine Learning (ICML) , Vol. 37 . 448--456. Sergey Ioffe and Christian Szegedy. 2015. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In International Conference on Machine Learning (ICML), Vol. 37. 448--456."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_2_2_26_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Kim Junho","year":"2019","unstructured":"Junho Kim , Minjae Kim , Hyeonwoo Kang , and Kwanghee Lee . 2019 . U-GAT-IT: unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation . In International Conference on Learning Representations (ICLR). Junho Kim, Minjae Kim, Hyeonwoo Kang, and Kwanghee Lee. 2019. U-GAT-IT: unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_27_1","volume-title":"Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations (ICLR).","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba . 2015 . Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations (ICLR). Diederik P Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1186\/2050-7445-1-31"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351020"},{"key":"e_1_3_2_2_30_1","volume-title":"Deep Learning Face Attributes in the Wild. In IEEE International Conference on Computer Vision (ICCV).","author":"Liu Ziwei","year":"2015","unstructured":"Ziwei Liu , Ping Luo , Xiaogang Wang , and Xiaoou Tang . 2015 . Deep Learning Face Attributes in the Wild. In IEEE International Conference on Computer Vision (ICCV). Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang. 2015. Deep Learning Face Attributes in the Wild. In IEEE International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2366600"},{"key":"e_1_3_2_2_32_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Miyato Takeru","year":"2018","unstructured":"Takeru Miyato , Toshiki Kataoka , Masanori Koyama , and Yuichi Yoshida . 2018 . Spectral normalization for generative adversarial networks . In International Conference on Learning Representations (ICLR). Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida. 2018. Spectral normalization for generative adversarial networks. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.42"},{"key":"e_1_3_2_2_34_1","volume-title":"BAM: Bottleneck Attention Module. In British Machine Vision Conference (BMVC).","author":"Park Jongchan","year":"2018","unstructured":"Jongchan Park , Sanghyun Woo , Joon-Young Lee , and In So Kweon . 2018 . BAM: Bottleneck Attention Module. In British Machine Vision Conference (BMVC). Jongchan Park, Sanghyun Woo, Joon-Young Lee, and In So Kweon. 2018. BAM: Bottleneck Attention Module. In British Machine Vision Conference (BMVC)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11671"},{"key":"e_1_3_2_2_37_1","volume-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations (ICLR).","author":"Simonyan Karen","year":"2015","unstructured":"Karen Simonyan and Andrew Zisserman . 2015 . Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations (ICLR). Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_38_1","unstructured":"Jake Snell Kevin Swersky and Richard Zemel. 2017. Prototypical networks for few-shot learning. In Advances in Neural Information Processing Systems. 4077--4087.  Jake Snell Kevin Swersky and Richard Zemel. 2017. Prototypical networks for few-shot learning. In Advances in Neural Information Processing Systems. 4077--4087."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_48"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350980"},{"key":"e_1_3_2_2_41_1","unstructured":"Aaron Van den Oord Nal Kalchbrenner Lasse Espeholt Oriol Vinyals Alex Graves etal 2016. Conditional image generation with pixelcnn decoders. In Advances in Neural Information Processing Systems. 4790--4798.  Aaron Van den Oord Nal Kalchbrenner Lasse Espeholt Oriol Vinyals Alex Graves et al. 2016. Conditional image generation with pixelcnn decoders. In Advances in Neural Information Processing Systems. 4790--4798."},{"key":"e_1_3_2_2_42_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems. 5998--6008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems. 5998--6008."},{"key":"e_1_3_2_2_43_1","unstructured":"Oriol Vinyals Meire Fortunato and Navdeep Jaitly. 2015. Pointer networks. In Advances in Neural Information Processing Systems. 2692--2700.  Oriol Vinyals Meire Fortunato and Navdeep Jaitly. 2015. Pointer networks. In Advances in Neural Information Processing Systems. 2692--2700."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01017"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/2070781.2024208"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.49"},{"key":"e_1_3_2_2_52_1","volume-title":"International Conference on Machine Learning (ICML)","volume":"97","author":"Zhang Han","year":"2019","unstructured":"Han Zhang , Ian Goodfellow , Dimitris Metaxas , and Augustus Odena . 2019 . Self-attention generative adversarial networks . In International Conference on Machine Learning (ICML) , Vol. 97 . 7354--7363. Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena. 2019. Self-attention generative adversarial networks. In International Conference on Machine Learning (ICML), Vol. 97. 7354--7363."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240625"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240536"},{"key":"e_1_3_2_2_56_1","volume-title":"Structure Guided Photorealistic Style Transfer. In ACM International Conference on Multimedia. 365--373","author":"Zhi Yuheng","year":"2018","unstructured":"Yuheng Zhi , Huawei Wei , and Bingbing Ni . 2018 . Structure Guided Photorealistic Style Transfer. In ACM International Conference on Multimedia. 365--373 . Yuheng Zhi, Huawei Wei, and Bingbing Ni. 2018. Structure Guided Photorealistic Style Transfer. In ACM International Conference on Multimedia. 365--373."}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413958","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413958","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:32:07Z","timestamp":1750195927000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413958"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":56,"alternative-id":["10.1145\/3394171.3413958","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413958","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}