GAN for Anime Face Generation
Generative modeling for realistic anime face synthesis
I trained a generative adversarial network on a dataset of 60,000 anime faces and fine-tuned it to improve the realism of facial features. This project helped me develop a stronger practical understanding of generative modeling and image synthesis.
Highlights
- Trained a GAN on a large anime-face dataset.
- Fine-tuned the model for higher visual realism.
- Strengthened my understanding of training stability, model tuning, and generative image quality.
Takeaway
The project gave me hands-on experience with deep learning workflows in a creative and technically demanding domain.