Code-ISWA_200479

The developed code represents an initial version of the system for synthesizing emotional expressions using Generative Adversarial Networks (GAN). This model is composed of a generator that creates images based on latent representations and a discriminator that evaluates the authenticity of these images. The system uses data such as visual quality metrics (SSIM, LPIPS) and performance characteristics to train and evaluate its performance.

The CSV file is an initial data source, providing the metrics necessary to simulate the system environment. Although this implementation does not represent the final version, it offers a functional approximation to test basic concepts and adjust key parameters. Due to copyright restrictions, the complete and optimized version of the system described in the article is not included.