Abstract:

ABSTRACT-Facial image reconstruction is a critical area of research with applications span security, forensics, and virtual reality. This presents a novel approach for accurate reconstruction of facial images using an advanced machine learning techniques and in high-resolution imaging. We leverage deep neural networks, particularly convolutional neural networks (CNNs), to enhance the precision and detail of the reconstructed images. Our method integrates in the feature extractions, facial recognition, and generative in modelling to reconstruct faces with high fidelity from the low-quality or incomplete data.

Description:

.