Yumi's Cells Genertor : Training various GANs with small Yumi dataset.
이보림 : Chung-ang Univ. C.S.E
조원 : Chung-ang Univ. E.E
최명균 : Chung-ang Univ. E.E
in CUAI 2021 Conference
Short Paper
Video
GAN is hard to training model with less datasets. Also, it takes many time.
There are many pre-trained model with famous and large datasets ( FFHQ, AFHQ, CelebA-HQ ... ). However, in reality, it is very difficult to collect good datasets of interest.
We trained small datasets with popular Webtoon 'Yumi's Cells'. Then, We generated Cells' images and compared various stylegan models.
Finally, we found the effective way to train models and select model with small Yumi's dataset.
- local editing ( Synthesized )
=>
StyleGAN1 : https://arxiv.org/abs/1812.04948
StyleGAN2 : https://arxiv.org/abs/1912.04958
FreezeD : https://arxiv.org/abs/2002.10964
FreezeG : https://github.com/bryandlee/FreezeG
StyleMapGAN : https://arxiv.org/abs/2104.14754