Mask Guided Unsupervised Face Frontalization using 3D Morphable Model from Single-View Images: A face frontalization framework that can generate identity preserving frontal view image while maintaining the background and color tone from input with only front images for training using 3D Morphable Model.
Jun YinYuanquan XuNingbo WangYapeng LiSiyu GuoPublished in: APIT (2022)
Keyphrases
- frontal view
- d morphable model
- input image
- image data
- lighting conditions
- image retrieval
- illumination conditions
- human faces
- face images
- single view
- face alignment
- active appearance models
- facial expressions
- image database
- face verification
- keypoints
- three dimensional
- multi view
- image matching
- face recognition systems
- feature points
- segmentation algorithm
- single image
- face recognition
- multiple views
- high quality
- viewpoint
- facial expression recognition
- feature space
- gait recognition
- feature matching
- human computer interaction
- appearance model
- spatial information
- image segmentation