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.本项目开发的代码为基于生成式对抗网络（Generative Adversarial Networks，GAN）合成情感表情的系统的初始版本。该模型由两部分构成：一是基于隐空间表征生成图像的生成器，二是对这些图像的真实性进行判别评估的判别器。本系统借助视觉质量指标（SSIM、LPIPS）与性能特征数据，对自身开展训练与性能评估。 本次提供的CSV文件为初始数据源，可提供模拟该系统运行环境所需的各类指标数据。尽管本实现并非最终版本，但它可作为功能性近似方案，用于测试基础概念并调整关键参数。受版权限制，本文所提及的系统完整优化版本未包含在本次发布内容中。