{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T06:46:26Z","timestamp":1764225986841,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3681120","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:49Z","timestamp":1729925989000},"page":"6910-6919","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["CodeSwap: Symmetrically Face Swapping Based on Prior Codebook"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2828-387X","authenticated-orcid":false,"given":"Xiangyang","family":"Luo","sequence":"first","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7590-8600","authenticated-orcid":false,"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3225-9220","authenticated-orcid":false,"given":"Yifan","family":"Xie","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8242-8737","authenticated-orcid":false,"given":"Xinyi","family":"Tong","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7449-3093","authenticated-orcid":false,"given":"Weijiang","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4978-8041","authenticated-orcid":false,"given":"Heng","family":"Chang","sequence":"additional","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5388-9125","authenticated-orcid":false,"given":"Fei","family":"Ma","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1006-7594","authenticated-orcid":false,"given":"Fei Richard","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University & Carleton University, Shenzhen, Guangdong, China"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01371"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550454.3555435"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1399504.1360638"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413630"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00142"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2024156.2024164"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"volume-title":"Image denoising via learned dictionaries and sparse representation. In 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR'06)","author":"Elad Michael","key":"e_1_3_2_1_9_1","unstructured":"Michael Elad and Michal Aharon. 2006. Image denoising via learned dictionaries and sparse representation. In 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR'06), Vol. 1. IEEE, 895--900."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00341"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.212"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_8"},{"key":"e_1_3_2_1_14_1","volume-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30","author":"Heusel Martin","year":"2017","unstructured":"Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"e_1_3_2_1_16_1","volume-title":"Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144","author":"Jang Eric","year":"2016","unstructured":"Eric Jang, Shixiang Gu, and Ben Poole. 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144 (2016)."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings, Part II 14","author":"Johnson Justin","year":"2016","unstructured":"Justin Johnson, Alexandre Alahi, and Li Fei-Fei. 2016. Perceptual losses for realtime style transfer and super-resolution. In Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part II 14. Springer, 694--711."},{"key":"e_1_3_2_1_18_1","volume-title":"Progressive growing of gans for improved quality, stability, and variation. arXiv preprint arXiv:1710.10196","author":"Karras Tero","year":"2017","unstructured":"Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2017. Progressive growing of gans for improved quality, stability, and variation. arXiv preprint arXiv:1710.10196 (2017)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_2_1_20_1","volume-title":"Diffface: Diffusion-based face swapping with facial guidance. arXiv preprint arXiv:2212.13344","author":"Kim Kihong","year":"2022","unstructured":"Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, and KwangHee Lee. 2022. Diffface: Diffusion-based face swapping with facial guidance. arXiv preprint arXiv:2212.13344 (2022)."},{"key":"e_1_3_2_1_21_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_22_1","volume-title":"Faceshifter: Towards high fidelity and occlusion aware face swapping. CVPR","author":"Li Lingzhi","year":"2020","unstructured":"Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, and Fang Wen. 2020. Faceshifter: Towards high fidelity and occlusion aware face swapping. CVPR (2020)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Maomao Li Ge Yuan Cairong Wang Zhian Liu Yong Zhang Yongwei Nie Jue Wang and Dong Xu. 2023. E4S: Fine-Grained Face Swapping via Regional GAN Inversion. arXiv:arXiv:xxxx","DOI":"10.1109\/CVPR52729.2023.00829"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3404334"},{"key":"e_1_3_2_1_25_1","volume-title":"Fine-Grained Face Swapping Via Regional GAN Inversion. In 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 8578--8587","author":"Liu Zhian","year":"2023","unstructured":"Zhian Liu, Maomao Li, Yong Zhang, Cairong Wang, Qi Zhang, Jue Wang, and Yongwei Nie. 2023. Fine-Grained Face Swapping Via Regional GAN Inversion. In 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 8578--8587."},{"key":"e_1_3_2_1_26_1","volume-title":"POSTER: A simpler and stronger facial expression recognition network. arXiv preprint arXiv:2301.12149","author":"Mao Jiawei","year":"2023","unstructured":"Jiawei Mao, Rui Xu, Xuesong Yin, Yuanqi Chang, Binling Nie, and Aibin Huang. 2023. POSTER: A simpler and stronger facial expression recognition network. arXiv preprint arXiv:2301.12149 (2023)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01975"},{"key":"e_1_3_2_1_28_1","article-title":"FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment","author":"Nirkin Yuval","year":"2022","unstructured":"Yuval Nirkin, Yosi Keller, and Tal Hassner. 2022. FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment. IEEE Transactions on Pattern Analysis and Machine Intelligence.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00024"},{"key":"e_1_3_2_1_30_1","unstructured":"NNNNAI. 2023. VGGFace2-HQ: High-Quality Face Recognition Dataset. https: \/\/github.com\/NNNNAI\/VGGFace2-HQ. Accessed: 2023-03--17."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00417-9"},{"key":"e_1_3_2_1_32_1","volume-title":"Aaron Van den Oord, and Oriol Vinyals","author":"Razavi Ali","year":"2019","unstructured":"Ali Razavi, Aaron Van den Oord, and Oriol Vinyals. 2019. Generating diverse high-fidelity images with vq-vae-2. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00281"},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV). 7634--7644","author":"Shiohara Kaede","year":"2023","unstructured":"Kaede Shiohara, Xingchao Yang, and Takafumi Taketomi. 2023. BlendFace: Redesigning Identity Encoders for Face-Swapping. In Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV). 7634--7644."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.241"},{"key":"e_1_3_2_1_37_1","volume-title":"Vincent De Smet, and Luc Van Gool","author":"Timofte Radu","year":"2015","unstructured":"Radu Timofte, Vincent De Smet, and Luc Van Gool. 2015. A: Adjusted anchored neighborhood regression for fast super-resolution. In Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1--5, 2014, Revised Selected Papers, Part IV 12. Springer, 111--126."},{"key":"e_1_3_2_1_38_1","unstructured":"Aaron Van Den Oord Oriol Vinyals et al. 2017. Neural discrete representation learning. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_39_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, ?ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00583"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 17512--17521","author":"Zhang Jiawei","year":"2022","unstructured":"ZhouxiaWang, Jiawei Zhang, Runjian Chen,WenpingWang, and Ping Luo. 2022. Restoreformer: High-quality blind face restoration from undegraded key-value pairs. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 17512--17521."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01229"},{"key":"e_1_3_2_1_44_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 7632--7641","author":"Xu Chao","year":"2022","unstructured":"Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, and Yong Liu. 2022. Regionaware face swapping. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 7632--7641."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00749"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20203"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19781-9_38"},{"key":"e_1_3_2_1_48_1","volume-title":"Image superresolution via sparse representation","author":"Yang Jianchao","year":"2010","unstructured":"Jianchao Yang, John Wright, Thomas S Huang, and Yi Ma. 2010. Image superresolution via sparse representation. IEEE transactions on image processing 19, 11 (2010), 2861--2873."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25444"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00828"},{"key":"e_1_3_2_1_51_1","first-page":"30599","article-title":"Towards robust blind face restoration with codebook lookup transformer","volume":"35","author":"Zhou Shangchen","year":"2022","unstructured":"Shangchen Zhou, Kelvin Chan, Chongyi Li, and Chen Change Loy. 2022. Towards robust blind face restoration with codebook lookup transformer. Advances in Neural Information Processing Systems 35 (2022), 30599--30611.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00480"}],"event":{"name":"MM '24: The 32nd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Melbourne VIC Australia","acronym":"MM '24"},"container-title":["Proceedings of the 32nd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681120","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681120","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:57:53Z","timestamp":1750294673000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681120"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":52,"alternative-id":["10.1145\/3664647.3681120","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681120","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2024-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}