Replay Attention and Data Augmentation Network for 3-D Face and Object Reconstruction
Author:
Affiliation:
1. School of Information Engineering, Ningxia University, Yinchuan, China
2. College of Electronic and Information Engineering, Tongji University, Shanghai, China
Funder
National Natural Science Foundation of China
Ningxia Graduate Education and Teaching Reform Research and Practice Project 2021
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/8423754/10210132/10081017.pdf?arnumber=10081017
Reference73 articles.
1. Learning Forgery Region-aware and ID-independent Features for Face Manipulation Detection
2. Nonlinear 3D Face Morphable Model
3. Replay Attention and Data Augmentation Network for 3D Dense Alignment and Face Reconstruction
4. Learning Dense Facial Correspondences in Unconstrained Images
5. Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition
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