maple-research-lab / glsgan-gp
Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.
☆30Updated 6 years ago
Alternatives and similar repositories for glsgan-gp:
Users that are interested in glsgan-gp are comparing it to the libraries listed below
- GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint☆119Updated 5 years ago
- ECCV2018☆68Updated 5 years ago
- dcgan combined with vae in pytorch!☆117Updated 6 years ago
- Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis☆40Updated 6 years ago
- PyTorch Implementation of "Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation"☆43Updated 5 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆39Updated 6 years ago
- A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"☆92Updated 5 years ago
- A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)☆113Updated 6 years ago
- Cross-domain disentanglement network☆91Updated 5 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- [TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling☆45Updated 4 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…