Alternatives and similar repositories for self-supervised-gan-eval:

Users that are interested in self-supervised-gan-eval are comparing it to the libraries listed below

• AilsaF / RS-GAN
  ☆29Updated 4 years ago
• grayhong / self-diagnosing-gan
  Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)
  ☆20Updated 3 years ago
• sangwoomo / GOLD
  Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
  ☆17Updated 5 years ago
• VITA-Group / Ultra-Data-Efficient-GAN-Training
  [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …
  ☆84Updated 3 years ago
• XuezheMax / wolf
  Invertible Generative Flows
  ☆81Updated 3 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• mchong6 / FID_IS_infinity
  ☆47Updated last year
• chail / gan-ensembling
  Invert and perturb GAN images for test-time ensembling
  ☆96Updated 3 years ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆79Updated 2 years ago
• zhuxinqimac / PS-SC
  Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.
  ☆43Updated 3 years ago
• fjxmlzn / InfoGAN-CR
  [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
  ☆41Updated 4 years ago
• CompVis / iin
  A Disentangling Invertible Interpretation Network
  ☆121Updated 3 years ago
• batmanlab / twin-auxiliary-classifiers-gan
  ☆51Updated 4 years ago
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆21Updated 3 years ago
• ruiqigao / recovery_likelihood
  ☆49Updated 4 years ago
• ermongroup / fairgen
  Fair Generative Modeling via Weak Supervision
  ☆20Updated 2 years ago
• musikisomorphie / swd
  unsupervised video and image generation
  ☆58Updated 4 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆86Updated 6 years ago
• tntrung / msgan
  Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".
  ☆36Updated 5 years ago
• yandex-research / gan-transfer
  Supplementary code for "When, Why, and Which Pretrained GANs Are Useful?" (ICLR'22)
  ☆24Updated 3 years ago
• corenel / pytorch-glow
  PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
  ☆44Updated 6 years ago
• eitanrich / torch-mfa
  Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch
  ☆40Updated 2 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• maga33 / DSGAN
  Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)
  ☆98Updated 3 years ago
• msmsajjadi / precision-recall-distributions
  Assessing Generative Models via Precision and Recall (official repository)
  ☆106Updated 2 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 5 years ago
• mlpc-ucsd / DC-VAE
  (CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder
  ☆40Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• adambielski / perturbed-seg
  Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models
  ☆32Updated 5 years ago
• MiaoyunZhao / GANTransferLimitedData
  This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".
  ☆58Updated 4 years ago