| clovaai/stargan-v2 |
3,185 |
|
0 |
0 |
almost 3 years ago |
0 |
|
95 |
other |
Python |
| StarGAN v2 - Official PyTorch Implementation (CVPR 2020) |
| podgorskiy/ALAE |
2,850 |
|
0 |
0 |
about 5 years ago |
0 |
|
31 |
|
Python |
| [CVPR2020] Adversarial Latent Autoencoders |
| megvii-research/ICCV2019-LearningToPaint |
2,125 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning |
| nashory/pggan-pytorch |
745 |
|
0 |
0 |
about 4 years ago |
0 |
|
35 |
mit |
Python |
| :fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire: |
| YannDubs/disentangling-vae |
668 |
|
0 |
0 |
about 3 years ago |
0 |
|
7 |
other |
Python |
| Experiments for understanding disentanglement in VAE latent representations |
| github-pengge/PyTorch-progressive_growing_of_gans |
485 |
|
0 |
0 |
about 8 years ago |
0 |
|
27 |
|
Python |
| PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation. |
| Schlumberger/joint-vae |
384 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2: |
| shepnerd/inpainting_gmcnn |
324 |
|
0 |
0 |
about 4 years ago |
0 |
|
20 |
mit |
Python |
| Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018 |
| ptrblck/prog_gans_pytorch_inference |
312 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot |
| znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN |
302 |
|
0 |
0 |
over 7 years ago |
0 |
|
9 |
|
Python |
| Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets |
