{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T14:19:09Z","timestamp":1779286749111,"version":"3.51.4"},"reference-count":80,"publisher":"Association for Computing Machinery (ACM)","issue":"11","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62293554, 62206249, U2336212"],"award-info":[{"award-number":["62293554, 62206249, U2336212"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"crossref","award":["LZ24F020002"],"award-info":[{"award-number":["LZ24F020002"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Young Elite Scientists Sponsorship Program by CAST","award":["2023QNRC001"],"award-info":[{"award-number":["2023QNRC001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2025,11,30]]},"abstract":"<jats:p>\n                    The reconstruction of dynamic head avatars has gained increasing significance, giving rise to various downstream applications such as visual dubbing and digital human creation. Despite recent advancements, generating\n                    <jats:italic toggle=\"yes\">novel, unseen expressions<\/jats:italic>\n                    for a given identity remains challenging in concurrently achieving (1) accurate expression and consistent appearance and (2) high-quality and realistic faces. This article introduces ExpAvatar, a novel approach crafted to address these challenges. ExpAvatar elaborately leverages the appearance consistency capabilities inherent in 3DMMs-based models along with the robust generalization ability of DDPMs-based models to alleviate appearance drift issues and enhance the generation of unseen expressions. Specifically, ExpAvatar introduces a Face Priors-Conditioned Diffusion (FPDiff) model to inject 3D face priors into generation models through fine-tuning. Furthermore, a Face Priors-Conditioned Catalyst (FPCatalyst) is employed to enhance the inference efficiency and generation quality. Moreover, we propose a unique confidence-based regularizer function to mitigate the effect of imperfect face-tracking estimates, thereby improving the quality of dynamic neural head avatars. Experimental results demonstrate that ExpAvatar surpasses current state-of-the-art solutions in generating unseen expressions, marking an advancement in the realm of dynamic head avatar synthesis. Code:\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/yuangan\/ExpAvatar\">https:\/\/github.com\/yuangan\/ExpAvatar<\/jats:ext-link>\n                    .\n                  <\/jats:p>","DOI":"10.1145\/3700770","type":"journal-article","created":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T10:40:27Z","timestamp":1728988827000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["ExpAvatar: High-Fidelity Avatar Generation of Unseen Expressions with 3D Face Priors"],"prefix":"10.1145","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1380-787X","authenticated-orcid":false,"given":"Yuan","family":"Gan","sequence":"first","affiliation":[{"name":"ReLER, CCAI, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4077-1398","authenticated-orcid":false,"given":"Ruijie","family":"Quan","sequence":"additional","affiliation":[{"name":"ReLER, CCAI, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7037-1806","authenticated-orcid":false,"given":"Yawei","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Software Technology, Zhejiang University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,7]]},"reference":[{"key":"e_1_3_1_2_1","doi-asserted-by":"crossref","unstructured":"Arbish Akram and Nazar Khan. 2023. SARGAN: Spatial attention-based residuals for facial expression manipulation. IEEE Transactions on Circuits and Systems for Video Technology 33 10 (2023) 5433\u20135443.","DOI":"10.1109\/TCSVT.2023.3255243"},{"key":"e_1_3_1_3_1","first-page":"20364","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Athar ShahRukh","year":"2022","unstructured":"ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, and Zhixin Shu. 2022. RigNeRF: Fully controllable neural 3D portraits. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 20364\u201320373."},{"key":"e_1_3_1_4_1","doi-asserted-by":"crossref","unstructured":"An-Qi Bi Xiao-Yang Tian Shui-Hua Wang and Yu-Dong Zhang. 2022. Dynamic transfer exemplar based facial emotion recognition model toward online video. ACM Transactions on Multimedia Computing Communications and Applications 18 2s (2022) 1\u201317.","DOI":"10.1145\/3538385"},{"key":"e_1_3_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311556"},{"key":"e_1_3_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.116"},{"key":"e_1_3_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01118"},{"key":"e_1_3_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"e_1_3_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"e_1_3_1_10_1","first-page":"547","volume-title":"Communications of the ACM","volume":"19","author":"Clark James H.","year":"1976","unstructured":"James H. Clark. 1976. Hierarchical geometric models for visible surface algorithms. Communications of the ACM 19, 10 (1976), 547\u2013554."},{"key":"e_1_3_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01967"},{"key":"e_1_3_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"e_1_3_1_13_1","first-page":"285","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","author":"Deng Yu","year":"2019","unstructured":"Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, and Xin Tong. 2019. Accurate 3D face reconstruction with weakly-supervised learning: From single image to image set. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, 285\u2013295."},{"key":"e_1_3_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01258"},{"key":"e_1_3_1_15_1","doi-asserted-by":"crossref","unstructured":"Yuhang Ding Hehe Fan Mingliang Xu and Yi Yang. 2020. Adaptive exploration for unsupervised person re-identification. ACM Transactions on Multimedia Computing Communications and Applications 16 1 (2020) 1\u201319.","DOI":"10.1145\/3369393"},{"key":"e_1_3_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01225"},{"key":"e_1_3_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.600"},{"key":"e_1_3_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01011"},{"key":"e_1_3_1_19_1","doi-asserted-by":"crossref","unstructured":"Yao Feng Haiwen Feng Michael J. Black and Timo Bolkart. 2021. Learning an animatable detailed 3D face model from in-the-wild images. ACM Transactions on Graphics 40 4 (2021) 1\u201313.","DOI":"10.1145\/3450626.3459936"},{"key":"e_1_3_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00854"},{"key":"e_1_3_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02069"},{"key":"e_1_3_1_22_1","doi-asserted-by":"crossref","unstructured":"Xuan Gao Chenglai Zhong Jun Xiang Yang Hong Yudong Guo and Juyong Zhang. 2022. Reconstructing personalized semantic facial NeRF models from monocular video. ACM Transactions on Graphics 41 6 (2022) 1\u201312.","DOI":"10.1145\/3550454.3555501"},{"key":"e_1_3_1_23_1","doi-asserted-by":"crossref","unstructured":"Shiming Ge Fanzhao Lin Chenyu Li Daichi Zhang Weiping Wang and Dan Zeng. 2022. Deepfake video detection via predictive representation learning. ACM Transactions on Multimedia Computing Communications and Applications 18 2s (2022) 1\u201321.","DOI":"10.1145\/3536426"},{"key":"e_1_3_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00125"},{"key":"e_1_3_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01810"},{"key":"e_1_3_1_26_1","doi-asserted-by":"crossref","unstructured":"Kehua Guo Min Hu Sheng Ren Fangfang Li Jian Zhang Haifu Guo and Xiaoyan Kui. 2022. Deep illumination-enhanced face super-resolution network for low-light images. ACM Transactions on Multimedia Computing Communications and Applications 18 3 (2022) 1\u201319.","DOI":"10.1145\/3495258"},{"key":"e_1_3_1_27_1","first-page":"5784","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Guo Yudong","year":"2021","unstructured":"Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, and Juyong Zhang. 2021. AD-NeRF: Audio driven neural radiance fields for talking head synthesis. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, 5784\u20135794."},{"key":"e_1_3_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"e_1_3_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530745"},{"key":"e_1_3_1_30_1","first-page":"4401","volume-title":"Proceedings of the 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR \u201919)","author":"Karras Tero","year":"2019","unstructured":"Tero Karras, Samuli Laine, and Timo Aila. 2019. A style-based generator architecture for generative adversarial networks. In Proceedings of the 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR \u201919), 4401\u20134410."},{"key":"e_1_3_1_31_1","first-page":"760","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Lattas Alexandros","year":"2020","unstructured":"Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, and Stefanos Zafeiriou. 2020. AvatarMe: Realistically renderable 3D facial reconstruction \u201cin-the-wild\u201d. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 760\u2013769."},{"key":"e_1_3_1_32_1","first-page":"194:1","volume-title":"ACM Transactions on Graphics","volume":"36","author":"Li Tianye","year":"2017","unstructured":"Tianye Li, Timo Bolkart, Michael. J. Black, Hao Li, and Javier Romero. 2017. Learning a model of facial shape and expression from 4D scans. ACM Transactions on Graphics 36, 6 (2017), 194:1\u2013194:17."},{"key":"e_1_3_1_33_1","doi-asserted-by":"crossref","unstructured":"Yuanzhi Liang Linchao Zhu Xiaohan Wang and Yi Yang. 2023. IcoCap: Improving video captioning by compounding images. IEEE Transactions on Multimedia 26 (2023) 4389\u20134400.","DOI":"10.1109\/TMM.2023.3322329"},{"key":"e_1_3_1_34_1","doi-asserted-by":"crossref","unstructured":"Kezhou Lin Xiaohan Wang Linchao Zhu Bang Zhang and Yi Yang. 2024. SKIM: Skeleton-based isolated sign language recognition with part mixing. IEEE Transactions on Multimedia 26 (2024) 4271\u20134280.","DOI":"10.1109\/TMM.2023.3321502"},{"key":"e_1_3_1_35_1","doi-asserted-by":"crossref","unstructured":"Shiguang Liu and Huixin Wang. 2023. Talking face generation via facial anatomy. ACM Transactions on Multimedia Computing Communications and Applications 19 3 (2023) 1\u201319.","DOI":"10.1145\/3571746"},{"key":"e_1_3_1_36_1","unstructured":"Yawei Luo Ping Liu Liang Zheng Tao Guan Junqing Yu and Yi Yang. 2021. Category-level adversarial adaptation for semantic segmentation using purified features. IEEE Transactions on Pattern Analysis and Machine Intelligence 44 8 (2021) 3940\u20133956."},{"key":"e_1_3_1_37_1","first-page":"333","volume-title":"Frontiers of Information Technology & Electronic Engineering","author":"Luo Yawei","year":"2024","unstructured":"Yawei Luo and Yang Yi. 2024. Large language model and domain-specific model collaboration for smart education. Frontiers of Information Technology & Electronic Engineering 25, 3 (2024), 333\u2013341."},{"key":"e_1_3_1_38_1","first-page":"418","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV \u201918)","author":"Luo Yawei","year":"2018","unstructured":"Yawei Luo, Zhedong Zheng, Liang Zheng, Tao Guan, Junqing Yu, and Yi Yang. 2018. Macro-micro adversarial network for human parsing. In Proceedings of the European Conference on Computer Vision (ECCV \u201918), 418\u2013434."},{"key":"e_1_3_1_39_1","unstructured":"Yifeng Ma Shiwei Zhang Jiayu Wang Xiang Wang Yingya Zhang and Zhidong Deng. 2023. Dreamtalk: When expressive talking head generation meets diffusion probabilistic models. arXiv:2312.09767. Retrieved from https:\/\/arxiv.org\/abs\/2312.09767"},{"key":"e_1_3_1_40_1","unstructured":"Momina Masood Marriam Nawaz Khalid Mahmood Malik Ali Javed and Aun Irtaza. 2021. Deepfakes generation and detection: State-of-the-art open challenges countermeasures and way forward. arXiv:2103.00484. Retrieved from https:\/\/arxiv.org\/abs\/2103.00484"},{"key":"e_1_3_1_41_1","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR \u201922)","author":"Meng Chenlin","year":"2022","unstructured":"Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon. 2022. SDEdit: Image synthesis and editing with stochastic differential equations. In Proceedings of the International Conference on Learning Representations (ICLR \u201922)."},{"key":"e_1_3_1_42_1","unstructured":"Mehdi Mirza and Simon Osindero. 2014. Conditional generative adversarial nets. arXiv:1411.1784. Retrieved from https:\/\/arxiv.org\/abs\/1411.1784"},{"key":"e_1_3_1_43_1","doi-asserted-by":"crossref","unstructured":"Thomas M\u00fcller Alex Evans Christoph Schied and Alexander Keller. 2022. Instant neural graphics primitives with a multiresolution hash encoding. ACM Transactions on Graphics 41 4 (2022) 1\u201315.","DOI":"10.1145\/3528223.3530127"},{"key":"e_1_3_1_44_1","doi-asserted-by":"crossref","unstructured":"Yunhe Pan. 2020. Multiple knowledge representation of artificial intelligence. Engineering 6 3 (2020) 216\u2013217.","DOI":"10.1016\/j.eng.2019.12.011"},{"key":"e_1_3_1_45_1","doi-asserted-by":"crossref","unstructured":"Yunhe Pan. 2021. On visual understanding. Frontiers of Information Technology & Electronic Engineering 23 9 (2021) 1\u20133.","DOI":"10.1631\/FITEE.2130000"},{"key":"e_1_3_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00581"},{"key":"e_1_3_1_47_1","doi-asserted-by":"crossref","unstructured":"Keunhong Park Utkarsh Sinha Peter Hedman Jonathan T. Barron Sofien Bouaziz Dan B. Goldman Ricardo Martin-Brualla and Steven M. Seitz. 2021. HyperNeRF: A higher-dimensional representation for topologically varying neural radiance fields. arXiv:2106.13228. Retrieved from https:\/\/arxiv.org\/abs\/2106.13228","DOI":"10.1145\/3478513.3480487"},{"key":"e_1_3_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00209"},{"key":"e_1_3_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2009.58"},{"key":"e_1_3_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413532"},{"key":"e_1_3_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01036"},{"key":"e_1_3_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_1_53_1","first-page":"986","volume-title":"Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR \u201905)","volume":"2","author":"Romdhani Sami","year":"2005","unstructured":"Sami Romdhani and Thomas Vetter. 2005. Estimating 3D shape and texture using pixel intensity, edges, specular highlights, texture constraints and a prior. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR \u201905), Vol. 2. IEEE, 986\u2013993."},{"key":"e_1_3_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00795"},{"key":"e_1_3_1_55_1","doi-asserted-by":"crossref","unstructured":"Sandro Sch\u00f6nborn Bernhard Egger Andreas Morel-Forster and Thomas Vetter. 2017. Markov chain Monte Carlo for automated face image analysis. International Journal of Computer Vision 123 (2017) 160\u2013183.","DOI":"10.1007\/s11263-016-0967-5"},{"key":"e_1_3_1_56_1","first-page":"53","volume-title":"European Conference on Computer Vision","author":"Shang Jiaxiang","year":"2020","unstructured":"Jiaxiang Shang, Tianwei Shen, Shiwei Li, Lei Zhou, Mingmin Zhen, Tian Fang, and Long Quan. 2020. Self-supervised monocular 3D face reconstruction by occlusion-aware multi-view geometry consistency. In European Conference on Computer Vision. Springer, 53\u201370."},{"key":"e_1_3_1_57_1","doi-asserted-by":"crossref","unstructured":"Xiaolong Shen Zhedong Zheng and Yi Yang. 2024. StepNet: Spatial-temporal part-aware network for isolated sign language recognition. ACM Transactions on Multimedia Computing Communications and Applications 20 7 (2024) 1\u201319.","DOI":"10.1145\/3656046"},{"key":"e_1_3_1_58_1","unstructured":"Jiaming Song Chenlin Meng and Stefano Ermon. 2020. Denoising diffusion implicit models. arXiv:2010.02502. Retrieved from https:\/\/arxiv.org\/abs\/2010.02502"},{"key":"e_1_3_1_59_1","doi-asserted-by":"crossref","unstructured":"Linsen Song Wayne Wu Chaoyou Fu Chen Qian Chen Change Loy and Ran He. 2021. Everything\u2019s talkin\u2019: Pareidolia face reenactment. arXiv:2104.03061. Retrieved from https:\/\/arxiv.org\/abs\/2104.03061","DOI":"10.1109\/CVPR46437.2021.00227"},{"key":"e_1_3_1_60_1","doi-asserted-by":"crossref","unstructured":"Yucheng Suo Zhedong Zheng Xiaohan Wang Bang Zhang and Yi Yang. 2024. Jointly harnessing prior structures and temporal consistency for sign language video generation. ACM Transactions on Multimedia Computing Communications and Applications 20 6 (2024) 1\u201318.","DOI":"10.1145\/3648368"},{"key":"e_1_3_1_61_1","doi-asserted-by":"crossref","unstructured":"Shuai Tan Bin Ji Mengxiao Bi and Ye Pan. 2024. EDTalk: Efficient disentanglement for emotional talking head synthesis. arXiv:2404.01647. Retrieved from https:\/\/arxiv.org\/abs\/2404.01647","DOI":"10.1007\/978-3-031-72658-3_23"},{"key":"e_1_3_1_62_1","first-page":"10812","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Tewari Ayush","year":"2019","unstructured":"Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick P\u00e9rez, Michael Zollhofer, and Christian Theobalt. 2019. FML: Face model learning from videos. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10812\u201310822."},{"key":"e_1_3_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00270"},{"key":"e_1_3_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/2929464.2929475"},{"key":"e_1_3_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01744"},{"key":"e_1_3_1_66_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20154"},{"key":"e_1_3_1_67_1","unstructured":"Yuchi Wang Junliang Guo Jianhong Bai Runyi Yu Tianyu He Xu Tan Xu Sun and Jiang Bian. 2024. InstructAvatar: Text-guided emotion and motion control for avatar generation. arXiv:2405.15758. Retrieved from https:\/\/arxiv.org\/abs\/2405.15758"},{"key":"e_1_3_1_68_1","doi-asserted-by":"crossref","unstructured":"Han Xue Jun Ling Anni Tang Li Song Rong Xie and Wenjun Zhang. 2023. High-fidelity face reenactment via identity-matched correspondence learning. ACM Transactions on Multimedia Computing Communications and Applications 19 3 (2023) 1\u201323.","DOI":"10.1145\/3571857"},{"key":"e_1_3_1_69_1","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.2100463"},{"key":"e_1_3_1_70_1","doi-asserted-by":"crossref","unstructured":"Y. Yang Y. Zhuang and Y. Pan. 2022. The review of visual knowledge: A new pivot for cross-media intelligence evolution. Journal of Image and Graphics 27 9 (2022) 2574\u20132588.","DOI":"10.11834\/jig.211264"},{"key":"e_1_3_1_71_1","unstructured":"Han Yi Zhedong Zheng Xiangyu Xu and Tat-seng Chua. 2023. Progressive text-to-3D generation for automatic 3D prototyping. arXiv:2309.14600. Retrieved from https:\/\/arxiv.org\/abs\/2309.14600"},{"key":"e_1_3_1_72_1","doi-asserted-by":"crossref","unstructured":"Yang Yu Rongrong Ni Wenjie Li and Yao Zhao. 2022. Detection of AI-manipulated fake faces via mining generalized features. ACM Transactions on Multimedia Computing Communications and Applications 18 4 (2022) 1\u201323.","DOI":"10.1145\/3499026"},{"key":"e_1_3_1_73_1","doi-asserted-by":"crossref","unstructured":"Lvmin Zhang and Maneesh Agrawala. 2023. Adding conditional control to text-to-image diffusion models. arXiv:2302.05543. Retrieved from https:\/\/arxiv.org\/abs\/2302.05543","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"e_1_3_1_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"e_1_3_1_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00836"},{"key":"e_1_3_1_76_1","doi-asserted-by":"crossref","unstructured":"Xuanmeng Zhang Zhedong Zheng Daiheng Gao Bang Zhang Yi Yang and Tat-Seng Chua. 2023. Multi-view consistent generative adversarial networks for compositional 3D-aware image synthesis. International Journal of Computer Vision 131 8 (2023) 2219\u20132242.","DOI":"10.1007\/s11263-023-01805-x"},{"key":"e_1_3_1_77_1","first-page":"13545","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Zheng Yufeng","year":"2022","unstructured":"Yufeng Zheng, Victoria Fern\u00e1ndez Abrevaya, Marcel C. B\u00fchler, Xu Chen, Michael J. Black, and Otmar Hilliges. 2022. I M Avatar: Implicit morphable head avatars from videos. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 13545\u201313555."},{"key":"e_1_3_1_78_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02017"},{"key":"e_1_3_1_79_1","unstructured":"Zhedong Zheng Xiaodong Yang Zhiding Yu Liang Zheng Yi Yang and Jan Kautz. 2019. Joint discriminative and generative learning for person re-identification. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition 2138\u20132147."},{"key":"e_1_3_1_80_1","first-page":"250","volume-title":"Proceedings of the17th European Conference on Computer Vision (ECCV \u201922)","volume":"13673","author":"Zielonka Wojciech","year":"2022","unstructured":"Wojciech Zielonka, Timo Bolkart, and Justus Thies. 2022. Towards metrical reconstruction of human faces. In Proceedings of the17th European Conference on Computer Vision (ECCV \u201922). Lecture Notes in Computer Science, Vol. 13673. Shai Avidan, Gabriel J. Brostow, Moustapha Ciss\u00e9, Giovanni Maria Farinella, and Tal Hassner (Eds.), Springer, 250\u2013269."},{"key":"e_1_3_1_81_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00444"}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3700770","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T15:10:40Z","timestamp":1762528240000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3700770"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,7]]},"references-count":80,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,11,30]]}},"alternative-id":["10.1145\/3700770"],"URL":"https:\/\/doi.org\/10.1145\/3700770","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"value":"1551-6857","type":"print"},{"value":"1551-6865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,7]]},"assertion":[{"value":"2024-04-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-05","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}