rosinality / vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
☆1,643Updated last year
Alternatives and similar repositories for vq-vae-2-pytorch:
Users that are interested in vq-vae-2-pytorch are comparing it to the libraries listed below
- Vector Quantized VAEs - PyTorch Implementation☆850Updated last year
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,028Updated last year
- Minimalist implementation of VQ-VAE in Pytorch☆522Updated 3 years ago
- PyTorch implementation of VQ-VAE by Aäron van den Oord et al.☆534Updated 5 years ago
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆656Updated last year
- Compute FID scores with PyTorch.☆3,432Updated 5 months ago
- [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training☆1,283Updated 2 months ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆679Updated 9 months ago
- High-fidelity performance metrics for generative models in PyTorch☆1,013Updated 10 months ago
- A mix of GAN implementations including progressive growing☆1,619Updated 3 years ago
- Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch☆833Updated last year
- Two time-scale update rule for training GANs☆861Updated 3 years ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,761Updated 4 months ago
- PyTorch implementation of Glow☆521Updated 3 years ago
- Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch☆1,100Updated 3 years ago
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,521Updated 2 years ago
- Official implementation of Diffusion Autoencoders☆869Updated 2 months ago
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆679Updated 6 years ago
- Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)☆2,527Updated 7 months ago
- Denoising Diffusion Implicit Models☆1,480Updated 4 months ago
- Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804☆702Updated 2 years ago
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆731Updated 8 months ago
- Inception Score for GANs in Pytorch☆641Updated 4 years ago
- Pytorch implementation of β-VAE☆526Updated 3 years ago
- Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]☆1,085Updated 10 months ago
- [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang☆1,646Updated 2 years ago
- GANs with spectral normalization and projection discriminator☆1,088Updated 5 years ago
- Experiments for understanding disentanglement in VAE latent representations☆798Updated last year
- Fast and differentiable MS-SSIM and SSIM for pytorch.☆1,102Updated 8 months ago
- Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)☆2,242Updated last year