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https://github.com/yasinshafiei/progressive_gan
Progressive GAN on Celeb-A dataset
https://github.com/yasinshafiei/progressive_gan
artificial-intelligence artificial-neural-networks celeba deep-learning gans generative-adversarial-network neural-networks progressive-gan python pytorch pytorch-implementation
Last synced: 26 days ago
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Progressive GAN on Celeb-A dataset
- Host: GitHub
- URL: https://github.com/yasinshafiei/progressive_gan
- Owner: YasinShafiei
- Created: 2023-03-29T16:17:16.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-05-19T10:27:19.000Z (over 1 year ago)
- Last Synced: 2024-11-11T15:41:09.616Z (3 months ago)
- Topics: artificial-intelligence, artificial-neural-networks, celeba, deep-learning, gans, generative-adversarial-network, neural-networks, progressive-gan, python, pytorch, pytorch-implementation
- Language: Python
- Homepage:
- Size: 14.6 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Progressive_GAN
Pro GANs train like human brain. First they train on small things and after that they will go on bigger things. This process will make the model to perform better because it fixes its problems better. Now let's get more technical into it.## Please go and checkout my article about Progressive GANs and this source on my Medium via this link:
https://medium.com/@YasinShafiei/progressive-gan-on-celeb-a-dataset-with-pytorch-bad190264b78---
Progressive GANs work like human brain. They start training with small images (4x4) and reach to (1024x1024)
To have more imformation, please go and checkout my article!## Some examples generated:
![img_46](https://user-images.githubusercontent.com/91404054/228603849-4d8a7e4a-2a47-46ee-8487-c7906ccc9240.png)
![img_61](https://user-images.githubusercontent.com/91404054/228603854-873c16de-aad3-461f-ba3f-c0f401aad465.png)
![img_78](https://user-images.githubusercontent.com/91404054/228603860-500c5a12-234d-488f-9ce3-37e2ac84ccc4.png)
![img_86](https://user-images.githubusercontent.com/91404054/228603864-a57d8c2a-8327-4fa3-bc06-57ef04f38de6.png)
![img_89](https://user-images.githubusercontent.com/91404054/228603867-5e03affb-aaf9-480e-a265-fd74c7caf9a4.png)
![img_92](https://user-images.githubusercontent.com/91404054/228603871-a8300839-7c86-4156-b676-36a6fe3769f4.png)
![img_30](https://user-images.githubusercontent.com/91404054/228603844-b6047cd2-79fb-439d-a545-75dc824308cd.png)
![img_36](https://user-images.githubusercontent.com/91404054/228603847-5873b70c-7b1b-4c40-8fe4-e00aa9fed1c6.png)
![img_19](https://user-images.githubusercontent.com/91404054/228603836-db3d02f7-dc3b-49d6-9dd7-fe62e7208a93.png)
![img_20](https://user-images.githubusercontent.com/91404054/228603840-70db24d3-b358-4836-b325-9809c1ec7491.png)
![img_26](https://user-images.githubusercontent.com/91404054/228603842-4c6c3390-545e-4d2c-bdaf-ac08e14a31ff.png)
![img_98](https://user-images.githubusercontent.com/91404054/228603788-d0d84fca-508f-4588-849c-af55530c8656.png)
![img_0](https://user-images.githubusercontent.com/91404054/228603805-7dafa67b-ed3d-4cda-9986-aae960e1b888.png)
![img_2](https://user-images.githubusercontent.com/91404054/228603808-e4b29b2a-9dd6-4a99-a0f1-d4fe723c604c.png)
![img_9](https://user-images.githubusercontent.com/91404054/228603812-004cd46e-5b53-481e-b501-485720aa2f35.png)
![img_10](https://user-images.githubusercontent.com/91404054/228603818-eb15f18a-cb06-484d-aee4-1cedffda4a4a.png)
![img_14](https://user-images.githubusercontent.com/91404054/228603823-654c9719-8f20-449a-b2f7-4b317bec6fb2.png)
![img_16](https://user-images.githubusercontent.com/91404054/228603829-93540e5b-6892-4e39-9278-f52772aa76db.png)