lukemelas / pytorch-pretrained-gans
Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more
☆127Updated 2 years ago
Related projects: ⓘ
- Pytorch implementation of common image generation metrics.☆141Updated 3 months ago
- Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation☆155Updated 2 years ago
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆189Updated 2 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆45Updated last year
- A Pytorch Implementation of the Fréchet Inception Distance (FID)☆57Updated last year
- The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space☆417Updated 11 months ago
- Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)☆163Updated 4 months ago
- PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"☆135Updated last year
- ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale☆197Updated 2 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆192Updated 2 years ago
- Mode collapse example of GANs in 2D (PyTorch).☆40Updated last year
- Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper☆153Updated 3 years ago
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆164Updated 2 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆101Updated last year
- Few-shot adaptation of GANs.☆120Updated 3 years ago
- Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.☆240Updated last year
- A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.1…☆55Updated 5 years ago
- Official implementation of FQ-GAN☆170Updated 4 years ago
- Implementation of Denoising Diffusion Probabilistic Models in PyTorch☆355Updated 2 years ago
- Implemetatin of Progressive Growing of GANs in PyTorch☆62Updated 6 years ago
- A Disentangling Invertible Interpretation Network☆122Updated 3 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆174Updated 3 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆120Updated 2 years ago
- Metrics for evaluating generative models.☆89Updated 3 years ago
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].☆18Updated 3 years ago
- A Pytorch implementation of Stylegan2 with UNet Discriminator☆199Updated 3 years ago
- Diverse Image Generation via Self-Conditioned GANs☆154Updated 4 years ago
- A pytorch implementation of Progressive-GAN that is actually works, readable and simple to customize☆80Updated 2 years ago
- [CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence☆290Updated last year
- Get started with CelebA-HQ dataset in under 5 mins !☆152Updated last year