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Monocular facial performance capture in-the-wild is challenging due to varied capture conditions, face shapes, and expressions.
Face transfer with multilinear models
Daniel Vlasic, Matthew Brand, Hanspeter Pfister, and Jovan Popovic · 2006
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A 3D Face Model for Pose and Illumination Invariant Face Recognition
IEEE · 2009
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Facewarehouse: A 3d facial expression database for visual computing
Chen Cao, Yanlin Weng, Shun Zhou, Yiying Tong, and Kun Zhou · 2013
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Learning dense correspondence via 3d-guided cycle consistency
Tinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qixing Huang, and Alexei A. Efros · 2016
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Learning a model of facial shape and expression from 4D scans
Tianye Li, Timo Bolkart, Michael. J. Black, Hao Li, and Javier Romero · 2017
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Generating 3D faces using convolutional mesh autoencoders
Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, and Michael J. Black · 2018
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Look at boundary: A boundary-aware face alignment algorithm
Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, and Qiang Zhou · 2018
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Group normalization
Yuxin Wu and Kaiming He · 2018
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Neural 3d morphable models: Spiral convolutional networks for 3d shape representation learning and generation
Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael Bronstein, and Stefanos Zafeiriou · 2019
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Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set
Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, and Xin Tong · 2019
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Learning to regress 3D face shape and expression from an image without 3D supervision
Soubhik Sanyal, Timo Bolkart, Haiwen Feng, and Michael Black · 2019
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3d morphable face models-past, present, and future
Bernhard Egger, William AP Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, et al · 2020
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Differentiable rendering: A survey
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, and Adrien Gaidon · 2020
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Learning formation of physically-based face attributes
Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, et al · 2020
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State of the art on neural rendering
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, et al · 2020
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Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction
Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, and Xun Cao · 2020
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Learning an animatable detailed 3d face model from in-the-wild images
Yao Feng, Haiwen Feng, Michael J Black, and Timo Bolkart · 2021
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Learning an animatable detailed 3d face model from in-the-wild images
Yao Feng, Haiwen Feng, Michael J. Black, and Timo Bolkart · 2021
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Fake it till you make it: face analysis in the wild using synthetic data alone
Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Sebastian Dziadzio, Thomas J Cashman, and Jamie Shotton · 2021
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Realy: Rethinking the evaluation of 3d face reconstruction
Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, and Linchao Bao · 2022
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Emotional speech-driven animation with content-emotion disentanglement
Radek Daněček, Kiran Chhatre, Shashank Tripathi, Yandong Wen, Michael Black, and Timo Bolkart · 2023
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Spectre: Visual speech-informed perceptual 3d facial expression reconstruction from videos
Panagiotis P Filntisis, George Retsinas, Foivos Paraperas-Papantoniou, Athanasios Katsamanis, Anastasios Roussos, and Petros Maragos · 2023
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Learning neural parametric head models
Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, and Matthias Nießner · 2023
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A hierarchical representation network for accurate and detailed face reconstruction from in-the-wild images
Biwen Lei, Jianqiang Ren, Mengyang Feng, Miaomiao Cui, and Xuansong Xie · 2023
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Hr-net: a landmark based high realistic face reenactment network
Qiuyu Ren, Zhiying Lu, Haopeng Wu, Jianfeng Zhang, and Zijian Dong · 2023
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Prashanth Chandran, Loïc Ciccone, Markus Gross, and Derek Bradley · 2022
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Facial animation with disentangled identity and motion using transformers
Prashanth Chandran, Gaspard Zoss, Markus Gross, Paulo Gotardo, and Derek Bradley · 2022
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Emoca: Emotion driven monocular face capture and animation
Radek Daněček, Michael J Black, and Timo Bolkart · 2022
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Megaportraits: One-shot megapixel neural head avatars
Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin, Aleksei Ivakhnenko, Victor Lempitsky, and Egor Zakharov · 2022
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Dual-generator face reenactment
Gee-Sern Hsu, Chun-Hung Tsai, and Hung-Yi Wu · 2022
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A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
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3d face reconstruction with dense landmarks
Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljević, Daniel Wilde, Stephan Garbin, Toby Sharp, Ivan Stojiljković, et al · 2022
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Star loss: Reducing semantic ambiguity in facial landmark detection
Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang, Gang Yu, and Rongrong Ji · 2023
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Spark: Self-supervised personalized real-time monocular face capture
Kelian Baert, Shrisha Bharadwaj, Fabien Castan, Benoit Maujean, Marc Christie, Victoria Abrevaya, and Adnane Boukhayma · 2024
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Mosar: Monocular semi-supervised model for avatar reconstruction using differentiable shading
Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amin Fadaeinejad, Rafael MO Cruz, and Marc-André Carbonneau · 2024
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Facelift: Semi-supervised 3d facial landmark localization
David Ferman, Pablo Garrido, and Gaurav Bharaj · 2024
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Cycles renderer
Blender Foundation · 2024
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Mononphm: Dynamic head reconstruction from monocular videos
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Look ma, no markers: holistic performance capture without the hassle
Charlie Hewitt, Fatemeh Saleh, Sadegh Aliakbarian, Lohit Petikam, Shideh Rezaeifar, Louis Florentin, Zafiirah Hosenie, Thomas J Cashman, Julien Valentin, Darren Cosker, et al · 2024
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3d facial expressions through analysis-by-neural-synthesis
George Retsinas, Panagiotis P Filntisis, Radek Danecek, Victoria F Abrevaya, Anastasios Roussos, Timo Bolkart, and Petros Maragos · 2024
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Unsupervised performance analysis of 3d face alignment with a statistically robust confidence test
Mostafa Sadeghi, Xavier Alameda-Pineda, and Radu Horaud · 2024
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3d face reconstruction with the geometric guidance of facial part segmentation
Zidu Wang, Xiangyu Zhu, Tianshuo Zhang, Baiqin Wang, and Zhen Lei · 2024
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Vasa-1: Lifelike audio-driven talking faces generated in real time
Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, and Baining Guo · 2024
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Media2face: Co-speech facial animation generation with multi-modality guidance
Qingcheng Zhao, Pengyu Long, Qixuan Zhang, Dafei Qin, Han Liang, Longwen Zhang, Yingliang Zhang, Jingyi Yu, and Lan Xu · 2024
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Teaser: Token enhanced spatial modeling for expressions reconstruction
Yunfei Liu, Lei Zhu, Lijian Lin, Ye Zhu, Ailing Zhang, and Yu Li · 2025
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