jeromerony / Progressive_Growing_of_GANs-PyTorch
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)
☆56Updated 5 years ago
Alternatives and similar repositories for Progressive_Growing_of_GANs-PyTorch:
Users that are interested in Progressive_Growing_of_GANs-PyTorch are comparing it to the libraries listed below
- Python script to download the celebA-HQ dataset from google drive☆139Updated 4 years ago
- Diverse Image Generation via Self-Conditioned GANs☆157Updated 4 years ago
- MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)☆151Updated 4 years ago
- A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"☆93Updated 5 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆104Updated 2 years ago
- Official implementation of FQ-GAN☆168Updated 4 years ago
- Cross-domain disentanglement network☆91Updated 5 years ago
- CPU/GPU/TPU implementation of the Inception Score☆80Updated 4 years ago
- Precise Recovery of Latent Vectors from Generative Adversarial Networks in PyTorch☆32Updated 7 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 3 years ago
- dcgan combined with vae in pytorch!☆116Updated 6 years ago
- An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018).☆158Updated 5 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆39Updated 6 years ago
- Invert a pre-trained GAN model (includes code for training a GAN on celebA)☆84Updated 6 years ago
- Multi-mapping Image-to-Image Translation via Learning Disentanglement. NeurIPS2019☆113Updated 4 years ago
- PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"☆114Updated 5 years ago
- Implemetatin of Progressive Growing of GANs in PyTorch☆63Updated 7 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…☆39Updated 6 years ago
- ☆131Updated 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 3 years ago
- Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)☆207Updated 3 years ago
- TensorFlow implementation of the CVPR2020 paper: Disentangled Image Generation Through Structured Noise Injection☆112Updated 4 years ago
- Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)☆93Updated 6 months 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 5 months ago
- Training MMD GANs.☆86Updated 6 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆46Updated last year
- pyTorch implementation of Spectral Normalization for Generative Adversarial Networks☆248Updated 2 years ago
- Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation☆169Updated 3 years ago
- CPU/GPU/TPU implementation of the Fréchet Inception Distance☆79Updated 4 years ago
- Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"☆120Updated 7 years ago