Performance metrics and loss trends during training. (a) Generator loss curve, showing the training progression of the generator over 250 epochs. (b) Discriminator loss curves for real and fake samples, reflecting the discriminator’s ability to distinguish between generated and real data. (c) PSNR values over epochs, illustrating the quality of the generated outputs. (d) SSIM values across epochs, indicating the structural fidelity of the generated images.