PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN

Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its extensions have shown promising results in synthesizing photorealistic and accurate reconstruction of human faces. However, previous methods often...

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Published in:	Computer graphics forum Vol. 42; no. 4
Main Authors:	Lin, K.‐E., Trevithick, A., Cheng, K., Sarkis, M., Ghafoorian, M., Bi, N., Reitmayr, G., Ramamoorthi, R.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.07.2023
Subjects:	Algorithms Avatars CCS Concepts Computing methodologies → Image‐based rendering Customization Head movement Synthesis
ISSN:	0167-7055, 1467-8659
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Abstract	Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its extensions have shown promising results in synthesizing photorealistic and accurate reconstruction of human faces. However, previous methods often focus on frontal face synthesis and most methods are not able to handle large head rotations due to the training data distribution of StyleGAN. In this work, our goal is to take as input a monocular video of a face, and create an editable dynamic portrait able to handle extreme head poses. The user can create novel viewpoints, edit the appearance, and animate the face. Our method utilizes pivotal tuning inversion (PTI) to learn a personalized video prior from a monocular video sequence. Then we can input pose and expression coefficients to MLPs and manipulate the latent vectors to synthesize different viewpoints and expressions of the subject. We also propose novel loss functions to further disentangle pose and expression in the latent space. Our algorithm shows much better performance over previous approaches on monocular video datasets, and it is also capable of running in real‐time at 54 FPS on an RTX 3080.
AbstractList	Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its extensions have shown promising results in synthesizing photorealistic and accurate reconstruction of human faces. However, previous methods often focus on frontal face synthesis and most methods are not able to handle large head rotations due to the training data distribution of StyleGAN. In this work, our goal is to take as input a monocular video of a face, and create an editable dynamic portrait able to handle extreme head poses. The user can create novel viewpoints, edit the appearance, and animate the face. Our method utilizes pivotal tuning inversion (PTI) to learn a personalized video prior from a monocular video sequence. Then we can input pose and expression coefficients to MLPs and manipulate the latent vectors to synthesize different viewpoints and expressions of the subject. We also propose novel loss functions to further disentangle pose and expression in the latent space. Our algorithm shows much better performance over previous approaches on monocular video datasets, and it is also capable of running in real‐time at 54 FPS on an RTX 3080.
Author	Bi, N. Ramamoorthi, R. Sarkis, M. Ghafoorian, M. Reitmayr, G. Trevithick, A. Lin, K.‐E. Cheng, K.
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Cites_doi	10.1109/CVPR52688.2022.01972 10.1007/s10489-022-03766-z 10.1145/3550454.3555436 10.1109/CVPR42600.2020.00618 10.1007/978-3-031-19790-1_6 10.1145/3197517.3201283 10.1145/3478513.3480538 10.1109/TIT.1982.1056489 10.1109/ICCV48922.2021.00581 10.1145/311535.311556 10.1145/3478513.3480487 10.1109/CVPR52688.2022.01973 10.1109/CVPR.2019.00453 10.1109/CVPR.2016.262 10.1145/2010324.1964972 10.1109/CVPR46437.2021.00574 10.1145/3588432.3591566 10.1109/CVPR.2018.00068 10.1109/CVPR.2018.00767 10.1145/3130800.3130813 10.1145/3470848 10.1145/3550454.3555501 10.1109/ICCV.2019.00453 10.1109/CVPR52688.2022.01967 10.1109/ICCV.2017.167 10.1109/ICCV48922.2021.01350 10.1109/CVPR.2019.00482 10.1007/978-3-031-20086-1_20 10.1145/3550454.3555506 10.1109/ICCV48922.2021.00209 10.1109/CVPR52688.2022.01314 10.1109/CVPR52688.2022.01565 10.1145/3588432.3591567 10.1145/3450626.3459936 10.1109/CVPR52688.2022.01318 10.1109/CVPR52688.2022.01041 10.1145/3450626.3459838 10.1109/CVPR52688.2022.00752 10.1109/CVPR.2014.537 10.1109/CVPR46437.2021.00232 10.1145/3550469.3555382 10.1145/3550469.3555377 10.1007/978-3-030-58452-8_24 10.1109/CVPR46437.2021.00854 10.1145/3550469.3555404
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References	1982; 28 2022 2021 2020 2019 2011; 30 2018 2017 2017; 194 2022; 41 2016 2014 2021; 40 40 2018; 37 1999 e_1_2_8_28_2 e_1_2_8_49_2 e_1_2_8_24_2 e_1_2_8_45_2 e_1_2_8_26_2 e_1_2_8_47_2 e_1_2_8_9_2 e_1_2_8_3_2 e_1_2_8_5_2 e_1_2_8_20_2 e_1_2_8_41_2 e_1_2_8_22_2 e_1_2_8_43_2 Paszke A. (e_1_2_8_34_2) 2019 e_1_2_8_17_2 e_1_2_8_38_2 e_1_2_8_19_2 e_1_2_8_13_2 e_1_2_8_59_2 e_1_2_8_15_2 e_1_2_8_36_2 e_1_2_8_57_2 e_1_2_8_30_2 e_1_2_8_55_2 e_1_2_8_11_2 e_1_2_8_32_2 e_1_2_8_53_2 e_1_2_8_51_2 e_1_2_8_27_2 e_1_2_8_29_2 e_1_2_8_23_2 e_1_2_8_46_2 e_1_2_8_25_2 e_1_2_8_48_2 e_1_2_8_2_2 e_1_2_8_4_2 e_1_2_8_6_2 e_1_2_8_8_2 e_1_2_8_42_2 e_1_2_8_21_2 e_1_2_8_44_2 e_1_2_8_40_2 e_1_2_8_16_2 e_1_2_8_39_2 e_1_2_8_18_2 e_1_2_8_12_2 e_1_2_8_35_2 e_1_2_8_58_2 e_1_2_8_14_2 e_1_2_8_37_2 e_1_2_8_56_2 Chen A. (e_1_2_8_7_2) 2022; 41 e_1_2_8_31_2 e_1_2_8_54_2 e_1_2_8_10_2 e_1_2_8_33_2 e_1_2_8_52_2 e_1_2_8_50_2
References_xml	– volume: 41 issue: 6 year: 2022 article-title: Reconstructing personalized semantic facial nerf models from monocular video publication-title: ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) – start-page: 4690 year: 2019 end-page: 4699 – start-page: 1 year: 2022 end-page: 9 – volume: 40 publication-title: Learning an ani-matable detailed 3D face model from in-the-wild images – start-page: 7672 year: 2022 end-page: 7682 – start-page: 187 year: 1999 end-page: 194 – start-page: 8024 year: 2019 end-page: 8035 article-title: Pytorch: An imperative style, high-performance deep learning library – start-page: 20311 year: 2022 end-page: 20322 – volume: 28 start-page: 129 issue: 2 year: 1982 end-page: 137 article-title: Least squares quantization in pcm publication-title: IEEE Transactions on Information Theory – volume: 41 start-page: 1 issue: 6 year: 2022 end-page: 10 article-title: Mystyle: A personalized generative prior publication-title: ACM Transactions on Graphics (TOG) – year: 2021 – start-page: 85 year: 2022 end-page: 101 – volume: 37 start-page: 1 issue: 4 year: 2018 end-page: 14 article-title: Deep video portraits publication-title: ACM Transactions on Graphics (TOG) – start-page: 1 year: 2022 end-page: 53 – start-page: 13503 year: 2022 end-page: 13513 – volume: 40 start-page: 1 issue: 4 year: 2021 end-page: 14 article-title: Designing an encoder for stylegan image manipulation publication-title: ACM Transactions on Graphics (TOG) – start-page: 4432 year: 2019 end-page: 4441 – year: 2016 – year: 2018 – volume: 41 start-page: 1 issue: 6 year: 2022 end-page: 10 article-title: Ide-3d: Interactive disentangled editing for high-resolution 3d-aware portrait synthesis publication-title: ACM Transactions on Graphics (TOG) – start-page: 4401 year: 2019 end-page: 4410 – start-page: 2085 year: 2021 end-page: 2094 – start-page: 18653 year: 2022 end-page: 18664 – volume: 41 start-page: 1 issue: 1 year: 2022 end-page: 26 article-title: Sofgan: A portrait image generator with dynamic styling publication-title: ACM Transactions on Graphics (TOG) – start-page: 13759 year: 2021 end-page: 13768 – year: 2022 – start-page: 4217 year: 2014 end-page: 4224 – year: 2020 – start-page: 20364 year: 2022 end-page: 20373 – start-page: I year: 2020 end-page: 405 – year: 2017 – volume: 30 start-page: 1 issue: 4 year: 2011 end-page: 10 article-title: Realtime performance-based facial animation publication-title: ACM transactions on graphics (TOG) – volume: 40 issue: 6 year: 2021 article-title: Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields publication-title: ACM Trans. Graph. – volume: 194 start-page: 1 issue: 6 year: 2017 end-page: 194 article-title: Learning a model of facial shape and expression from 4D scans publication-title: ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) – start-page: 8649 year: 2021 end-page: 8658 – ident: e_1_2_8_4_2 doi: 10.1109/CVPR52688.2022.01972 – ident: e_1_2_8_30_2 doi: 10.1007/s10489-022-03766-z – ident: e_1_2_8_32_2 doi: 10.1145/3550454.3555436 – ident: e_1_2_8_48_2 doi: 10.1109/CVPR42600.2020.00618 – ident: e_1_2_8_55_2 doi: 10.1007/978-3-031-19790-1_6 – ident: e_1_2_8_43_2 – ident: e_1_2_8_23_2 doi: 10.1145/3197517.3201283 – ident: e_1_2_8_28_2 doi: 10.1145/3478513.3480538 – ident: e_1_2_8_29_2 doi: 10.1109/TIT.1982.1056489 – ident: e_1_2_8_35_2 doi: 10.1109/ICCV48922.2021.00581 – ident: e_1_2_8_53_2 – ident: e_1_2_8_5_2 doi: 10.1145/311535.311556 – start-page: 8024 volume-title: Advances in Neural Information Processing Systems 32 year: 2019 ident: e_1_2_8_34_2 – ident: e_1_2_8_36_2 doi: 10.1145/3478513.3480487 – ident: e_1_2_8_20_2 – ident: e_1_2_8_21_2 doi: 10.1109/CVPR52688.2022.01973 – ident: e_1_2_8_25_2 – ident: e_1_2_8_14_2 – ident: e_1_2_8_24_2 doi: 10.1109/CVPR.2019.00453 – ident: e_1_2_8_51_2 doi: 10.1109/CVPR.2016.262 – ident: e_1_2_8_52_2 doi: 10.1145/2010324.1964972 – ident: e_1_2_8_8_2 doi: 10.1109/CVPR46437.2021.00574 – ident: e_1_2_8_3_2 doi: 10.1145/3588432.3591566 – ident: e_1_2_8_57_2 doi: 10.1109/CVPR.2018.00068 – ident: e_1_2_8_49_2 doi: 10.1109/CVPR.2018.00767 – ident: e_1_2_8_27_2 doi: 10.1145/3130800.3130813 – volume: 41 start-page: 1 issue: 1 year: 2022 ident: e_1_2_8_7_2 article-title: Sofgan: A portrait image generator with dynamic styling publication-title: ACM Transactions on Graphics (TOG) doi: 10.1145/3470848 – ident: e_1_2_8_18_2 doi: 10.1145/3550454.3555501 – ident: e_1_2_8_41_2 – ident: e_1_2_8_2_2 doi: 10.1109/ICCV.2019.00453 – ident: e_1_2_8_9_2 doi: 10.1109/CVPR52688.2022.01967 – ident: e_1_2_8_46_2 – ident: e_1_2_8_19_2 doi: 10.1109/ICCV.2017.167 – ident: e_1_2_8_39_2 doi: 10.1109/ICCV48922.2021.01350 – ident: e_1_2_8_15_2 – ident: e_1_2_8_10_2 doi: 10.1109/CVPR.2019.00482 – ident: e_1_2_8_26_2 doi: 10.1007/978-3-031-20086-1_20 – ident: e_1_2_8_44_2 doi: 10.1145/3550454.3555506 – ident: e_1_2_8_37_2 doi: 10.1109/ICCV48922.2021.00209 – ident: e_1_2_8_33_2 doi: 10.1109/CVPR52688.2022.01314 – ident: e_1_2_8_42_2 – ident: e_1_2_8_6_2 doi: 10.1109/CVPR52688.2022.01565 – ident: e_1_2_8_54_2 doi: 10.1145/3588432.3591567 – ident: e_1_2_8_12_2 doi: 10.1145/3450626.3459936 – ident: e_1_2_8_56_2 doi: 10.1109/CVPR52688.2022.01318 – ident: e_1_2_8_11_2 doi: 10.1109/CVPR52688.2022.01041 – ident: e_1_2_8_47_2 doi: 10.1145/3450626.3459838 – ident: e_1_2_8_45_2 doi: 10.1109/CVPR52688.2022.00752 – ident: e_1_2_8_59_2 – ident: e_1_2_8_17_2 doi: 10.1109/CVPR.2014.537 – ident: e_1_2_8_38_2 doi: 10.1109/CVPR46437.2021.00232 – ident: e_1_2_8_50_2 doi: 10.1145/3550469.3555382 – ident: e_1_2_8_40_2 – ident: e_1_2_8_22_2 doi: 10.1145/3550469.3555377 – ident: e_1_2_8_31_2 doi: 10.1007/978-3-030-58452-8_24 – ident: e_1_2_8_16_2 doi: 10.1109/CVPR46437.2021.00854 – ident: e_1_2_8_13_2 – ident: e_1_2_8_58_2 doi: 10.1145/3550469.3555404
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Snippet	Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its...
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SubjectTerms	Algorithms Avatars CCS Concepts Computing methodologies → Image‐based rendering Customization Head movement Synthesis
Title	PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN
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