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High-Fidelity 3D Face Reconstruction With Multi-Scale Details
Pattern Recognition Letters
◽
10.1016/j.patrec.2021.11.022
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2021
◽
Author(s):
Yiwei Jin
◽
Qingyu Li
◽
Diqiong Jiang
◽
Ruofeng Tong
Keyword(s):
High Fidelity
◽
3D Face Reconstruction
◽
3D Face
◽
Multi Scale
◽
Face Reconstruction
Download Full-text
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Cited By
References
Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
◽
10.1109/cvpr42600.2020.00593
◽
2020
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Cited By ~ 1
Author(s):
Jiangke Lin
◽
Yi Yuan
◽
Tianjia Shao
◽
Kun Zhou
Keyword(s):
High Fidelity
◽
3D Face Reconstruction
◽
3D Face
◽
Convolutional Networks
◽
Face Reconstruction
◽
In The Wild
Download Full-text
Towards Rich-Detail 3D Face Reconstruction and Dense Alignment via Multi-Scale Detail Augmentation
2021 IEEE International Conference on Multimedia and Expo (ICME)
◽
10.1109/icme51207.2021.9428221
◽
2021
◽
Author(s):
Jianjun Zhang
◽
Suping Wu
◽
Lei Li
◽
Kui Lin
◽
Xing Zheng
◽
...
Keyword(s):
3D Face Reconstruction
◽
3D Face
◽
Multi Scale
◽
Face Reconstruction
Download Full-text
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
◽
10.1109/cvpr.2019.00125
◽
2019
◽
Cited By ~ 33
Author(s):
Baris Gecer
◽
Stylianos Ploumpis
◽
Irene Kotsia
◽
Stefanos Zafeiriou
Keyword(s):
High Fidelity
◽
3D Face Reconstruction
◽
Generative Adversarial Network
◽
3D Face
◽
Face Reconstruction
◽
Adversarial Network
Download Full-text
Low-Frequency Guided Self-Supervised Learning For High-Fidelity 3d Face Reconstruction In The Wild
2020 IEEE International Conference on Multimedia and Expo (ICME)
◽
10.1109/icme46284.2020.9102812
◽
2020
◽
Author(s):
Pengrui Wang
◽
Chunze Lin
◽
Bo Xu
◽
Wujun Che
◽
Quan Wang
Keyword(s):
Supervised Learning
◽
Low Frequency
◽
High Fidelity
◽
3D Face Reconstruction
◽
3D Face
◽
Face Reconstruction
◽
In The Wild
Download Full-text
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
◽
10.1109/tpami.2021.3084524
◽
2021
◽
pp. 1-1
Author(s):
Baris Gecer
◽
Stylianos Ploumpis
◽
Irene Kotsia
◽
Stefanos P Zafeiriou
Keyword(s):
High Fidelity
◽
3D Face Reconstruction
◽
Generative Adversarial Network
◽
3D Face
◽
Face Reconstruction
◽
Adversarial Network
Download Full-text
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
◽
10.1109/cvpr42600.2020.00614
◽
2020
◽
Author(s):
Gun-Hee Lee
◽
Seong-Whan Lee
Keyword(s):
High Fidelity
◽
3D Face Reconstruction
◽
3D Face
◽
Face Reconstruction
Download Full-text
Coarse-to-fine multiview 3d face reconstruction using multiple geometrical features
Multimedia Tools and Applications
◽
10.1007/s11042-016-4325-y
◽
2017
◽
Vol 77
(1)
◽
pp. 939-966
◽
Cited By ~ 2
Author(s):
Peng Dai
◽
Xue Wang
◽
Weihang Zhang
Keyword(s):
3D Face Reconstruction
◽
3D Face
◽
Face Reconstruction
◽
Geometrical Features
◽
Coarse To Fine
Download Full-text
Automatic 3D Face Reconstruction based on Single 2D Image
2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07)
◽
10.1109/mue.2007.95
◽
2007
◽
Cited By ~ 8
Author(s):
Yepeng Guan
Keyword(s):
3D Face Reconstruction
◽
3D Face
◽
Face Reconstruction
Download Full-text
Multi-objective Evolutionary 3D Face Reconstruction Based on Improved Encoder-Decoder Network
Information Sciences
◽
10.1016/j.ins.2021.09.024
◽
2021
◽
Author(s):
Xingjuan Cai
◽
Yihao Cao
◽
Yeqing Ren
◽
Zhihua Cui
◽
Wensheng Zhang
Keyword(s):
3D Face Reconstruction
◽
3D Face
◽
Multi Objective
◽
Face Reconstruction
Download Full-text
State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications
Computer Graphics Forum
◽
10.1111/cgf.13382
◽
2018
◽
Vol 37
(2)
◽
pp. 523-550
◽
Cited By ~ 56
Author(s):
M. Zollhöfer
◽
J. Thies
◽
P. Garrido
◽
D. Bradley
◽
T. Beeler
◽
...
Keyword(s):
State Of The Art
◽
3D Face Reconstruction
◽
3D Face
◽
Face Reconstruction
Download Full-text
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