Alternatives and similar repositories for InfoDiffusion:

Users that are interested in InfoDiffusion are comparing it to the libraries listed below

• ThomasMrY / DisDiff
  [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
  ☆60Updated last year
• JegZheng / truncated-diffusion-probabilistic-models
  Pytorch implementation of TDPM
  ☆32Updated last year
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆93Updated last year
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆46Updated 8 months ago
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆80Updated 10 months ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆70Updated 3 months ago
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆156Updated 11 months ago
• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆22Updated 11 months ago
• jiamings / d2c
  PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
  ☆123Updated 2 years ago
• dongzhuoyao / self-guided-diffusion-models
  An official implementation of CVPR 2023 "Self-Guided Diffusion Models"
  ☆25Updated last year
• alexzhou907 / DDBM
  ☆174Updated 9 months ago
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆47Updated 7 months ago
• dorarad / soda
  Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆22Updated 10 months ago
• ehoogeboom / multinomial_diffusion
  ☆212Updated last year
• FutureXiang / Diffusion
  Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG)
  ☆55Updated last year
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆89Updated 4 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆196Updated last year
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆103Updated 11 months ago
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆26Updated 3 months ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆78Updated 9 months ago
• baofff / Extended-Analytic-DPM
  Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…
  ☆106Updated 2 years ago
• GBATZOLIS / conditional_score_diffusion
  PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
  ☆75Updated 6 months ago
• coderpiaobozhe / classifier-free-diffusion-guidance-Pytorch
  a simple unofficial implementation of classifier-free diffusion guidance
  ☆178Updated last year
• alsdudrla10 / DG
  Official repo for Discriminator Guidance.
  ☆158Updated last year
• ganmodokix / gwae
  PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)
  ☆43Updated last year
• ZGCTroy / ED-DPM
  ☆43Updated 2 years ago
• GuoQiushan / EGC
  ☆40Updated last year
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆30Updated 3 years ago
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆53Updated last year
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆64Updated last week