Datasets of CDE-GAN

This dataset contains the experimental data used in the paper  \Neural Architecture Search for Generative Adversarial Networks Based on Consistency Diffusion Evolutionary Algorithm.\ It includes training and evaluation results for generative adversarial networks (GANs) optimized using the proposed consistency diffusion evolutionary algorithm. The dataset provides input samples, intermediate model outputs, and performance metrics under different experimental settings. It is intended to support reproducibility of the reported results and to facilitate further research on neural architecture search, evolutionary computation, and generative models.