Basel morphable face model mesh and texture generator using GPU.
PyTorch implementation of the original GAN algorithm from scratch.
Presenting a Deep Convolutional Generative Adversarial Network (DCGAN) for generating anime faces. The process involves training a discriminator and generator neural network on a dataset comprising 21,551 manually resized anime faces (64x64 pixels). The generator is capable of producing realistic anime faces after being trained for 50 epochs.
Face generator is one of the applications of the Generative Adversarial Network. This was built on top of the PyTorch library.
A command-line python application to generate customizable human faces using an external API.
Avatar generator with JavaScript from canvas
DCGAN (Deep Convolutional Generative Adversarial Network) model for generating fake face images with PyTorch.
One-dimensional index number to set a number of face features to get varied results
A face generation model based on DCGAN architecture and WGAN-GP loss to prevent mode collapse
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