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Generative Adversarial Network using CelebA Dataset

This project is part of a series of projects for the course Selected Topics in Visual Recognition using Deep Learning that I attended during my exchange program at National Chiao Tung University (Taiwan). See task.pdf for the details of the assignment. See report.pdf for the report containing the representation and the analysis of the produced results.

The purpose of this project is to implement a Generative Adversarial Network using the famous CelebA Dataset and use the final model to generate 500 celebrity faces.

1. Dataset

2. Project Structure

See GANcelebA.ipynb for all the details about the implementation of the GAN model.

3. Examples of Generated Faces

4. License

Copyright (C) 2021 Alessandro Saviolo

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.

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