A PyTorch implementation of Conditional GAN (cGAN) to generate specific fashion category images (e.g., sneakers, bags) using FashionMNIST. Features custom Generator/Discriminator architecture with label embeddings, visual validation pipeline, and quantitative evaluation using FID score.
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A PyTorch implementation of Conditional GAN (cGAN) to generate specific fashion category images (e.g., sneakers, bags) using FashionMNIST. Features custom Generator/Discriminator architecture with label embeddings, visual validation pipeline, and quantitative evaluation using FID score.
emseekim/PyTorch-cGAN-FashionMNIST
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A PyTorch implementation of Conditional GAN (cGAN) to generate specific fashion category images (e.g., sneakers, bags) using FashionMNIST. Features custom Generator/Discriminator architecture with label embeddings, visual validation pipeline, and quantitative evaluation using FID score.
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