Face Segmentation

Face segmentation, the process of partitioning a face image into meaningful regions (e.g., eyes, nose, mouth), is crucial for various applications like facial recognition, 3D face reconstruction, and expression analysis. Current research emphasizes improving accuracy and efficiency, particularly in challenging scenarios such as occlusions and extreme expressions, employing deep learning models like GANs, convolutional neural networks, and diffusion networks. These advancements are driving progress in areas ranging from biometric security to virtual reality applications, with a growing focus on addressing biases in existing models and developing methods suitable for resource-constrained environments.