FM-3DFR: Facial Manipulation-Based 3-D Face Reconstruction-Reference-Cited by-同舟云学术

FM-3DFR: Facial Manipulation-Based 3-D Face Reconstruction

Published:2024-01 Issue:1 Volume:54 Page:209-218
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Zhao Shuwen¹^ORCID,Wang Xinming²^ORCID,Zhang Dinghuang¹,Zhang Gongyue¹,Wang Zhiyong³^ORCID,Liu Honghai²^ORCID

Affiliation:

1. School of Computing, University of Portsmouth, Portsmouth, U.K.

2. State Key Laboratory of Robotics and Systems, Harbin Institute of Technology (Shenzhen), Shenzhen, China

3. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China

Funder

China Scholarship Council

European Commission as part of the Horizon 2020

Research and Innovation Programme MSCA-RISE ECSASDPE

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/10367425/10048497.pdf?arnumber=10048497

Reference50 articles.

1. Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction

2. Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking

3. Joint Face Alignment and 3D Face Reconstruction with Efficient Convolution Neural Networks

4. Controllable and Identity-Aware Facial Attribute Transformation

5. AvatarMe: Realistically Renderable 3D Facial Reconstruction “In-the-Wild”

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