karamarieliu / cvqvae
Conditional VQ-VAE
☆16Updated 5 years ago
Alternatives and similar repositories for cvqvae
Users that are interested in cvqvae are comparing it to the libraries listed below
Sorting:
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- This package contains a PyTorch Implementation of IB-GAN of the submitted paper in AAAI 2021☆13Updated 3 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated last year
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- ☆30Updated 2 years ago
- ☆31Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 3 years ago
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆21Updated 5 years ago
- PyTorch implementation of NICE☆33Updated 6 years ago
- Official repository for HP-VAE-GAN☆56Updated 9 months ago
- Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"☆14Updated 6 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.☆30Updated 4 years ago
- ☆36Updated 4 years ago
- Contrastively Disentangled Sequential Variational Audoencoder☆46Updated 7 months ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)☆24Updated 3 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆35Updated 3 years ago
- ☆39Updated last year
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- ☆36Updated 2 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 3 years ago
- ☆33Updated 5 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆74Updated 2 years ago
- ☆12Updated 5 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆125Updated 3 years ago