eleGAN23 / QVAE
Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
☆27Updated 2 years ago
Alternatives and similar repositories for QVAE:
Users that are interested in QVAE are comparing it to the libraries listed below
- Official PyTorch repository for Quaternion Generative Adversarial Networks.☆18Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆79Updated last year
- ☆12Updated last year
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆53Updated 2 years ago
- ☆19Updated 3 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- Denoising Diffusion Implicit Models☆28Updated 3 years ago
- Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022☆15Updated 2 years ago
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆22Updated 2 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆38Updated 3 years ago
- Unsupervised diverse image generation via GANs: Partition Guided Mixture of Generative Adversarial Networks☆12Updated 3 years ago
- ☆25Updated 3 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 3 months ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆39Updated last year
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆62Updated 2 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago
- Description： Frequency Augmented Variational Autoencoder for better Image Reconstruction☆35Updated last year
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆44Updated 4 months ago
- ☆23Updated 3 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆115Updated 2 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆74Updated 3 years ago
- ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension☆59Updated 2 months ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆48Updated 2 years ago
- Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datas…☆26Updated 3 years ago
- (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder☆38Updated 2 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago