psanch21 / imp_biganLinks
Improving BiGAN training with marginal likelihood equalization - Official PyTorch implementation
☆9Updated 5 years ago
Alternatives and similar repositories for imp_bigan
Users that are interested in imp_bigan are comparing it to the libraries listed below
Sorting:
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- Code for paper "Adversarial score matching and improved sampling for image generation"☆123Updated 2 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆17Updated 4 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆62Updated 6 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆152Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Training MMD GANs.☆86Updated 7 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)☆20Updated 3 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Meta learning for generative models.☆16Updated 6 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- ☆32Updated 5 years ago
- A Pytorch Implementation of the Beta-VAE☆44Updated 6 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆40Updated 7 years ago
- ☆68Updated 2 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆35Updated 5 years ago
- Hyper volume maximization for GAN training☆25Updated 6 years ago
- ☆32Updated 4 years ago