rosinality / vq-vae-2-pytorchLinks
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
☆1,785Updated 2 years ago
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
Sorting:
- Vector Quantized VAEs - PyTorch Implementation☆941Updated 2 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,082Updated 3 years ago
- PyTorch implementation of VQ-VAE by Aäron van den Oord et al.☆598Updated 6 years ago
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆856Updated 3 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆553Updated 4 years ago
- Compute FID scores with PyTorch.☆3,808Updated last year
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆756Updated last year
- High-fidelity performance metrics for generative models in PyTorch☆1,152Updated 3 weeks ago
- Denoising Diffusion Implicit Models☆1,754Updated last year
- Two time-scale update rule for training GANs☆895Updated 4 years ago
- PyTorch implementation of Glow☆543Updated 4 years ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆2,055Updated last year
- [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang☆1,688Updated 3 years ago
- Inception Score for GANs in Pytorch☆661Updated 5 years ago
- Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)☆540Updated last year
- Official implementation of Diffusion Autoencoders☆951Updated last year
- PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]☆1,126Updated 4 months ago
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆678Updated 7 years ago
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,773Updated 3 years ago
- [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training☆1,309Updated last year
- Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch☆1,115Updated 4 years ago
- Official implementation of Cold-Diffusion for different transformations in pytorch.☆1,109Updated 3 years ago
- Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804☆753Updated 3 years ago
- Release for Improved Denoising Diffusion Probabilistic Models☆3,750Updated last year
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆797Updated last month
- GANs with spectral normalization and projection discriminator☆1,105Updated 6 years ago
- The author's officially unofficial PyTorch BigGAN implementation.☆2,922Updated 2 years ago
- Pytorch implementation of β-VAE☆555Updated 4 years ago
- Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)☆2,603Updated last year
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆713Updated 3 years ago