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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
Computer Science
Research output
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Conference contribution
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Dive into the research topics of 'MVF-Net: Multi-View 3D Face Morphable Model Regression'. Together they form a unique fingerprint.
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Keyphrases
Model Regression
100%
Multi-view 3D
100%
3D Morphable Model (3DMM)
100%
Morphable Model
100%
3D Face
100%
Viewpoint Alignment
75%
Alignment Loss
75%
3D Shape
50%
Single View
50%
Facial Image
50%
Dense Optical Flow
25%
Geometric Constraints
25%
3D Geometry
25%
Trainable
25%
Human Face
25%
Regress
25%
Inherent Drawbacks
25%
Main Active Ingredients
25%
Alignment Error
25%
Facial Reconstruction
25%
Convolutional Neural Network
25%
Shape Recovery
25%
Dense Correspondence
25%
3D Constraints
25%
Multi-view Input
25%
Computer Science
Morphable Model
100%
3d Morphable Model
100%
facial image
50%
Shape Recovery
25%
Convolutional Neural Network
25%
Engineering
Morphable Model
100%
Model Parameter
20%
Multiple View
20%
Convolutional Neural Network
20%
Observed Image
20%
Geometric Constraint
20%