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

• msmsajjadi / precision-recall-distributions
  Assessing Generative Models via Precision and Recall (official repository)
  ☆105Updated 2 years ago
• kynkaat / improved-precision-and-recall-metric
  Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation
  ☆176Updated 3 years ago
• XuezheMax / wolf
  Invertible Generative Flows
  ☆85Updated 4 years ago
• clovaai / generative-evaluation-prdc
  Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
  ☆256Updated 2 years ago
• CompVis / iin
  A Disentangling Invertible Interpretation Network
  ☆123Updated 4 years ago
• CompVis / net2net
  Network-to-Network Translation with Conditional Invertible Neural Networks
  ☆225Updated 2 years ago
• sangwoomo / GOLD
  Mining GOLD Samples for Conditional GANs (NeurIPS 2019)
  ☆17Updated 5 years ago
• jh-jeong / ContraD
  Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
  ☆189Updated 3 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆86Updated 7 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 6 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆149Updated last year
• mchong6 / FID_IS_infinity
  ☆47Updated last year
• batmanlab / twin-auxiliary-classifiers-gan
  ☆50Updated 5 years ago
• koshian2 / swd-pytorch
  Sliced Wasserstein Distance (SWD) in PyTorch
  ☆113Updated 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 …
  ☆85Updated 3 years ago
• grayhong / self-diagnosing-gan
  Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)
  ☆20Updated 3 years ago
• qilimk / biggan-am
  BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.
  ☆20Updated last year
• fjxmlzn / InfoGAN-CR
  [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
  ☆41Updated 4 years ago
• wpeebles / hessian_penalty
  Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)
  ☆207Updated 3 years ago
• maga33 / DSGAN
  Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)
  ☆98Updated 3 years ago
• clovaai / rebias
  Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
  ☆173Updated 11 months ago
• YangNaruto / FQ-GAN
  Official implementation of FQ-GAN
  ☆169Updated 4 years ago
• chail / gan-ensembling
  Invert and perturb GAN images for test-time ensembling
  ☆96Updated 4 years ago
• rakhimovv / GenerativeLatentFlow
  The PyTorch implementation of the GLF
  ☆22Updated 3 years ago
• MiaoyunZhao / GANTransferLimitedData
  This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".
  ☆59Updated 4 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 4 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 5 years ago
• google / lecam-gan
  Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
  ☆164Updated last year
• htt210 / GeneralizationAndStabilityInGANs
  Code for synthetic experiments of paper "Improving Generalization and Stability of GANs"
  ☆42Updated 6 years ago