Prog_gans_pytorch_inference
PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Stargan V2 | 3,185 | a year ago | 95 | other | Python | |||||
| StarGAN v2 - Official PyTorch Implementation (CVPR 2020) | ||||||||||
| Alae | 2,850 | 3 years ago | 31 | Python | ||||||
| [CVPR2020] Adversarial Latent Autoencoders | ||||||||||
| Iccv2019 Learningtopaint | 2,125 | 2 years ago | mit | Python | ||||||
| ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning | ||||||||||
| Pggan Pytorch | 745 | 2 years ago | 35 | mit | Python | |||||
| :fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire: | ||||||||||
| Disentangling Vae | 668 | a year ago | 7 | other | Python | |||||
| Experiments for understanding disentanglement in VAE latent representations | ||||||||||
| Pytorch Progressive_growing_of_gans | 485 | 6 years ago | 27 | Python | ||||||
| PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation. | ||||||||||
| Joint Vae | 384 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
| Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2: | ||||||||||
| Inpainting_gmcnn | 324 | 2 years ago | 20 | mit | Python | |||||
| Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018 | ||||||||||
| Prog_gans_pytorch_inference | 312 | 7 years ago | Python | |||||||
| PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot | ||||||||||
| Pytorch Mnist Celeba Gan Dcgan | 302 | 5 years ago | 9 | Python | ||||||
| Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets | ||||||||||
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