Lornatang / PyTorch-NCSN
This is the best GAN method to generate cifar-10
☆15Updated 5 years ago
Alternatives and similar repositories for PyTorch-NCSN:
Users that are interested in PyTorch-NCSN are comparing it to the libraries listed below
- Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)☆74Updated 3 years ago
- PyTorch Implementation of cGANTransfer☆45Updated 2 years ago
- See https://github.com/ilyakava/gan for results on Imagenet 128. Code for a Multi-Hinge Loss with K+1 Conditional GANs☆24Updated 4 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆109Updated 5 years ago
- The official TensorFlow implementation for ICCV'21 paper 'Dual Contrastive Loss and Attention for GANs'☆34Updated last year
- Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)☆24Updated 2 years ago
- Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)☆165Updated 7 months ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆27Updated 3 years ago
- Official implementation for Gradient Normalization for Generative Adversarial Networks☆72Updated 3 years ago
- IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.☆121Updated 3 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆46Updated last year
- A PyTorch implementation of VITGAN: Training GANs with Vision Transformers☆55Updated 3 years ago
- Wasserstein Divergence for GANs☆19Updated 3 years ago
- NR-GAN: Noise Robust Generative Adversarial Networks☆63Updated last year
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆188Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆36Updated 3 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆58Updated 4 years ago
- BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression☆74Updated 3 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆79Updated last year
- Implemetatin of Progressive Growing of GANs in PyTorch☆63Updated 7 years ago
- PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)☆53Updated 3 years ago
- This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…☆29Updated 3 years ago
- ☆51Updated 3 years ago
- AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks☆16Updated 3 years ago
- Mode collapse example of GANs in 2D (PyTorch).☆44Updated last year
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- This is a clean implementation of AM-GANs, supporting our paper “Activation Maximization Generative Adversarial Nets”.☆16Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆123Updated 2 years ago
- An unofficial pytorch implementation for OGAN☆9Updated 3 years ago
- Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss"☆64Updated 5 years ago