zhangqianhui/Conditional-GAN
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
Implements class-conditional image generation by concatenating label information into the generator and discriminator, enabling controlled synthesis of specific digit classes. Built on convolutional architecture patterns from DCGAN with separate training, testing, and visualization pipelines for MNIST. Requires TensorFlow 1.0+, OpenCV, and SciPy for image processing and model evaluation.
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Jun 27, 2022
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