[TOC]
CVPR 2019 论文大盘点-人脸技术篇
转自：http://www.e-tagsystems.cn/Industry/412.html
CVPR 2019 所有人脸相关论文，总计51篇，其中研究人脸重建与识别的论文最多，人脸识别中新Loss的设计有好几篇，人脸表情分析也不少，检测和对齐相对很少了。这些论文有较大数量都来自工业界，一些很实用的技术被提出来，比如有趣的人脸编辑和老化。
可以在以下网站下载这些论文：
http://openaccess.thecvf.com/CVPR2019.py
人脸反欺诈、人脸识别对抗攻击
大规模人脸反欺诈、活体检测库，中科院、京东等
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li
深度树学习，用于零样本的人脸反欺诈，密歇根州立大学
Deep Tree Learning for Zero-Shot Face Anti-Spoofing
Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu
去相关的对抗学习，用于年龄不变的人脸识别，腾讯
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu
人脸识别对抗攻击，香港浸会大学
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. Yuen
人脸识别对抗攻击，清华、腾讯、港理工
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
人脸重建与生成
多视图3D人脸变形模型回归，腾讯、香港中文、上交、电子科大
MVF-Net: Multi-View 3D Face Morphable Model Regression
Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu
2500fps的3D人脸解码，3DMM（3D变形模型），帝国理工等
Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
Yuxiang Zhou, Jiankang Deng, Irene Kotsia, Stefanos Zafeiriou
GAN 用于3D 人脸重建，帝国理工等
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
3DMM（3D变形模型），密歇根州立大学
Towards High-Fidelity Nonlinear 3D Face Morphable Model
Luan Tran, Feng Liu, Xiaoming Liu
3DMM（3D变形模型），帝国理工等
Combining 3D Morphable Models: A Large Scale Face-And-Head Model
Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, Stefanos Zafeiriou
3D人脸形状的解偶表示学习，中国科技大学
Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang
单目人脸3D重建、跟踪与动画驱动，明尼苏达大学、Facebook
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park
多度量回归网络，用于非限制的人脸重建，北大、腾讯
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction
Hongwei Yi, Chen Li, Qiong Cao, Xiaoyong Shen, Sheng Li, Guoping Wang, Yu-Wing Tai
单图像重建3D人脸形状和表情，德国马普研究所
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black
密集3D人脸对应，中科院，Visytem公司
Boosting Local Shape Matching for Dense 3D Face Correspondence
Zhenfeng Fan, Xiyuan Hu, Chen Chen, Silong Peng
从视频中人脸模型和人脸3D重建的联合学习，MPI Informatics等
FML: Face Model Learning From Videos
Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Perez, Michael Zollhofer, Christian Theobalt
使用动态像素级Loss，层次跨模态说话人脸生成，罗彻斯特大学
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu
通过语音重建人脸，MIT
Speech2Face: Learning the Face Behind a Voice
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
人脸聚类
图卷积人脸聚类，清华、澳大利亚国立大学
Linkage Based Face Clustering via Graph Convolution Network
Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
图卷积人脸聚类，商汤、港中文、南洋理工
Learning to Cluster Faces on an Affinity Graph
Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin
人脸识别
长尾噪声数据的不平等训练，用于深度人脸识别，北邮、佳能
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
Yaoyao Zhong, Weihong Deng, Mei Wang, Jiani Hu, Jianteng Peng, Xunqiang Tao, Yaohai Huang
Exclusive正则化的人脸识别，南开大学
RegularFace: Deep Face Recognition via Exclusive Regularization
Kai Zhao, Jingyi Xu, Ming-Ming Cheng
深度分布表示，用于人脸识别，清华