https://github.com/tfesenko/face-generation
Face Generator Project is a part of Udacity Deep Learning Nanodegree
https://github.com/tfesenko/face-generation
cyclegan generated-faces udacity
Last synced: about 2 months ago
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Face Generator Project is a part of Udacity Deep Learning Nanodegree
- Host: GitHub
- URL: https://github.com/tfesenko/face-generation
- Owner: tfesenko
- License: mit
- Created: 2019-11-20T15:39:09.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2022-04-28T06:29:10.000Z (over 3 years ago)
- Last Synced: 2025-07-30T15:37:27.111Z (2 months ago)
- Topics: cyclegan, generated-faces, udacity
- Language: HTML
- Size: 1.64 MB
- Stars: 4
- Watchers: 1
- Forks: 7
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Face-Generation
Face Generator Project is a part of Udacity Deep Learning Nanodegree.# Goal
Generate new faces using Generative Adversarial Networks (GANs).
The model is trained on the CelebFaces Attributes Dataset (CelebA):
It generates new human faces that look like this:
## Recommended next steps
* Create a deeper model and use it to generate larger (say 128x128) images of faces.
* Read existing literature to see if you can use padding and normalization techniques to generate higher-resolution images.
* Implement a learning rate that evolves over time as they did in this [CycleGAN Github repo](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix).
* See if you can extend this model and use a CycleGAN to learn to swap different kinds of faces. For example, learn a mapping between faces that have and do not have eye/lip makeup, as they did in [this paper](https://gfx.cs.princeton.edu/pubs/Chang_2018_PAS/Chang-CVPR-2018.pdf).