ImageInpating

This project implements Image Inpaiting using Deep learning with Generative Adversial Networks.

It uses Cifar10 dataset to reconstruct the center part of the image.

Required Packages

All conda packages described on requirements.txt

Usage

• Run main.py to train the model. If you have saved models, add --load-model argument to load them

Maintenance

Maintainers: Marcelo Andrade marceloga1@al.insper.edu.br

Tickets: Can be opened in Github Issues.

References

This repository was used as a boilerplate to create these models.

Some hyperparameters were changed according to this paper.

Next Steps

• Implement code on Places dataset.

License

This project is licensed under MIT license - see LICENSE.md for more details.