aisinai / vqvae2Links
Fred's PhD Thesis Project: VQ VAE 2 Image Compression
☆31Updated 5 years ago
Alternatives and similar repositories for vqvae2
Users that are interested in vqvae2 are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of gated PixelCNN☆59Updated last year
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- [ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer☆19Updated 2 years ago
- Mutual Information in Pytorch☆113Updated 2 years ago
- PyTorch implementation of PixelCNN from "Pixel Recurrent Neural Networks"☆43Updated 4 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆81Updated last year
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"☆162Updated 2 years ago
- PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models☆80Updated last year
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 3 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆91Updated 7 years ago
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆44Updated last year
- ☆16Updated 2 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 5 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆114Updated 6 years ago
- [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models☆71Updated 2 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆75Updated 5 years ago
- Implementation of various DDPM papers to understand how they work☆89Updated 7 months ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 5 years ago
- ☆24Updated 3 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- 1D Wasserstein Statistical Loss in Pytorch☆28Updated 5 years ago
- Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision☆218Updated 4 years ago
- Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022☆17Updated 2 years ago
- ☆32Updated 5 years ago
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆177Updated 3 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆45Updated 5 years ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆26Updated 4 years ago
- ☆63Updated 2 years ago
- Official repository for HP-VAE-GAN☆56Updated last year