PoseDefCycleGAN: Identity-preserving face frontalization with deformable convolutions and pose-aware supervision

Puntos clave

• Face frontalization improves image alignment and representation, ensuring identity preservation across various poses.
• The model utilizes deformable convolutions to enhance feature extraction and processing of facial structures.
• Pose-aware supervision guides the training process, leading to more accurate and identity-consistent frontal views.
• Applications in security and entertainment sectors could benefit significantly from effective face frontalization techniques.