ZhimingZhou / AM-GANs-refactoredLinks
This is a clean implementation of AM-GANs, supporting our paper “Activation Maximization Generative Adversarial Nets”.
☆16Updated 4 years ago
Alternatives and similar repositories for AM-GANs-refactored
Users that are interested in AM-GANs-refactored are comparing it to the libraries listed below
Sorting:
- ☆31Updated 4 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- Training MMD GANs.☆86Updated 7 years ago
- ☆30Updated 5 years ago
- PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"☆44Updated 6 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆85Updated 3 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆40Updated 6 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 4 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆112Updated 5 years ago
- A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"☆93Updated 6 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
- Code for synthetic experiments of paper "Improving Generalization and Stability of GANs"☆42Updated 6 years ago
- unsupervised video and image generation☆58Updated 4 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆149Updated last year
- ☆13Updated 4 years ago
- Invert and perturb GAN images for test-time ensembling☆96Updated 3 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆37Updated 5 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 3 years ago
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆190Updated 3 years ago
- Official repository for HP-VAE-GAN☆56Updated 10 months ago
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆35Updated 5 years ago
- ☆50Updated 5 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Official implementation for Gradient Normalization for Generative Adversarial Networks☆71Updated 3 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆44Updated 3 years ago
- PyTorch implementation of PixelCNN from "Pixel Recurrent Neural Networks"☆41Updated 4 years ago
- Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation☆174Updated 3 years ago