wayne391 / GAN-tutorial

:art: tutorial materials for the lab seminar in tensorflow

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Tutorial Materials for Generative Adversarial Nets (GANs)

A general introduction of GAN for the lab seminar. Here are some generated samples:

image image image


This repository is organized as the following:

pytorch

pytotch (version 1.0) implementation. WGAN-gp

datasets

Basic datasets. For images, we have cifar-10 and mnist. For the music, we offer the 'tab' dataset. We represents the music in so called 'piano-roll' fromat, which is a binary and sparse tensor.

ref

paper backup

slides

Slides for related works.

topics

Implementation of the aforementioned topics in the slides. All are written in Tenseoflow (< 1.0).

  • single image genration:
    SN-GAN, WGAN-GP

  • conditional generation:
    concatenation, ACGAN

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:art: tutorial materials for the lab seminar in tensorflow


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