Generative Machine Learning GAN
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The dataset was web-scraped for an original 20k samples, then a custom MRCNN model was trained for image segmentation and cropping before being fed into the 128 DCGAN, trained on local hardware, 1660
Stable Diffusion
GAN
StyleGAN Inversion
Generative webs with blinking eyes