anordertoreclaim / PixelCNNLinks
PyTorch implementation of gated PixelCNN
☆58Updated last year
Alternatives and similar repositories for PixelCNN
Users that are interested in PixelCNN are comparing it to the libraries listed below
Sorting:
- A naive implementation of PixelCNN in Pytorch as described in A Oord et. al.☆63Updated 5 years ago
- Fred's PhD Thesis Project: VQ VAE 2 Image Compression☆31Updated 4 years ago
- Implementation of Uformer, Attention-based Unet, in Pytorch☆95Updated 3 years ago
- PyTorch implementation of PixelCNN from "Pixel Recurrent Neural Networks"☆41Updated 4 years ago
- Implementation of various DDPM papers to understand how they work☆85Updated 3 months ago
- PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"☆156Updated 2 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 4 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆99Updated 4 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆199Updated 3 years ago
- Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".☆117Updated 2 years ago
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆173Updated 3 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆76Updated 2 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- [ICCV'19] DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer☆20Updated 2 years ago
- ☆56Updated 3 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆113Updated 5 years ago
- VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.☆79Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆125Updated 3 years ago
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].☆18Updated 4 years ago
- Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models☆83Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆112Updated 3 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆29Updated 3 years ago
- PyTorch implementation of diffusion models.☆59Updated 3 years ago
- A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners☆80Updated 3 years ago
- Pytorch implementation of common image generation metrics.☆185Updated last year
- Framework for creating (partially) reversible neural networks with PyTorch☆152Updated 2 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆47Updated 2 years ago
- Official implementation for Gradient Normalization for Generative Adversarial Networks☆71Updated 3 years ago