Conditionalized Progresive Growing GANs implemented on PyTorch. Uses Wassertein and Unroll.

Refs. Perarnau, G., Van De Weijer, J., Raducanu, B., & Álvarez, J. M. (2016). Invertible conditional gans for image editing. arXiv preprint arXiv:1611.06355.

Karras, T., Aila, T., Laine, S., & Lehtinen, J. (2017). Progressive growing of gans for improved quality, stability, and variation. arXiv preprint arXiv:1710.10196.

Hamada, K., Tachibana, K., Li, T., Honda, H., & Uchida, Y. (2018). Full-body high-resolution anime generation with progressive structure-conditional generative adversarial networks. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 0-0).