thisisiron / spectral_normalization-tf2Links
🌈 Spectral Normalization implemented as Tensorflow 2
☆34Updated 5 years ago
Alternatives and similar repositories for spectral_normalization-tf2
Users that are interested in spectral_normalization-tf2 are comparing it to the libraries listed below
Sorting:
- Spectral Normalization for Keras Dense and Convolution Layers☆122Updated 5 years ago
- Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)☆141Updated 7 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆75Updated 6 years ago
- Training MMD GANs.☆86Updated 7 years ago
- Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)☆93Updated last year
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 7 years ago
- CPU/GPU/TPU implementation of the Fréchet Inception Distance☆81Updated 5 years ago
- CPU/GPU/TPU implementation of the Inception Score☆80Updated 5 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆106Updated 2 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 3 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆40Updated 7 years ago
- WGAN-GP tensorflow implementation☆72Updated 2 years ago
- MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)☆152Updated 5 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆182Updated 7 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆199Updated 3 years ago
- A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.1…☆56Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- TensorFlow 2.0 implementation of Large Scale Adversarial Representation Learning(BigBiGAN)☆45Updated 5 years ago
- Simple Tensorflow implementation of RelativisticGAN☆50Updated 7 years ago
- Python script to download the celebA-HQ dataset from google drive☆140Updated 5 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆78Updated 5 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.☆173Updated last year
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- Prescribed Generative Adversarial Networks☆143Updated 5 years ago
- Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"☆121Updated 7 years ago
- Progressive training of GANs with Mutual Information Penalty☆187Updated 6 years ago
- Seeing what a GAN cannot generate. Visualizes and quantifies object classes within scenes that are outside the range of a GAN.☆186Updated 4 years ago
- Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)☆219Updated 6 years ago