https://github.com/dgedon/cyclegan-for-emojis
CycleGAN implementation for Emojis
https://github.com/dgedon/cyclegan-for-emojis
cyclegan gan pytorch reimplementation
Last synced: 13 days ago
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CycleGAN implementation for Emojis
- Host: GitHub
- URL: https://github.com/dgedon/cyclegan-for-emojis
- Owner: dgedon
- Created: 2021-06-21T14:16:29.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-06-23T11:28:42.000Z (over 4 years ago)
- Last Synced: 2025-04-25T14:04:26.715Z (6 months ago)
- Topics: cyclegan, gan, pytorch, reimplementation
- Language: Python
- Homepage:
- Size: 8.27 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CycleGAN for Emoji Style Transfer
This is the repository for the project of module 3 in the [WASP](https://wasp-sweden.org/graduate-school/)
graduate school course [Deep Learning and GANs](https://wasp-sweden.org/graduate-school/ai-graduate-school-courses/) by
[Sofia Ek](http://www.it.uu.se/katalog/sofli286), [Carmen Lee](https://www.it.uu.se/katalog/carle978) and [Daniel Gedon](https://www.it.uu.se/katalog/dange246).
We are reimplementing the CycleGAN paper by Zhu et al, see [here](https://junyanz.github.io/CycleGAN/). We are taking the
same setup as in assignment 4 of the course by Roger Grosse, see [here](http://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/).
That means that we take the accompanying dataset, containing emojis from Apple and Windwos and try to transfer the style between them.
The learnt transfer can be seen in the image below.
## Results
The following restults are obtained after training for 220 epochs from scratch.
*Transfer from Apple style emojis to Windows style ones*
*Transfer from Windows style emojis to Windows style ones*
## Code Usage
To run the code with standard settings use
```bash
python main.py
```
The results above are obtained with
```bash
python --batch_size=16 --max_epochs=500 --learning_rate=3e-4 --beta1=0.5 --beta2=0.999 --loss_lambda=2
```