Alternatives and similar repositories for Diffusion-Probabilistic-Models

Users that are interested in Diffusion-Probabilistic-Models are comparing it to the libraries listed below

• google-research / vdm
  ☆327Updated 3 years ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆757Updated last year
• yang-song / score_sde
  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆1,779Updated 3 years ago
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆714Updated 3 years ago
• pesser / pytorch_diffusion
  PyTorch reimplementation of Diffusion Models
  ☆577Updated 2 years ago
• yang-song / score_sde_pytorch
  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆2,059Updated last year
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆317Updated 4 years ago
• NVlabs / edm
  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
  ☆1,865Updated last year
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆370Updated 4 years ago
• tqch / ddpm-torch
  Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
  ☆227Updated last year
• TeaPearce / Conditional_Diffusion_MNIST
  Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
  ☆817Updated last year
• VSehwag / minimal-diffusion
  A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
  ☆303Updated last year
• azad-academy / denoising-diffusion-model
  A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.
  ☆223Updated 3 years ago
• arpitbansal297 / Cold-Diffusion-Models
  Official implementation of Cold-Diffusion for different transformations in pytorch.
  ☆1,113Updated 3 years ago
• ermongroup / ddim
  Denoising Diffusion Implicit Models
  ☆1,754Updated last year
• Newbeeer / pfgmpp
  Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"
  ☆381Updated 2 years ago
• MishaLaskin / vqvae
  A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
  ☆858Updated 3 years ago
• rosinality / denoising-diffusion-pytorch
  Implementation of Denoising Diffusion Probabilistic Models in PyTorch
  ☆392Updated 3 years ago
• Newbeeer / Poisson_flow
  Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)
  ☆869Updated 2 years ago
• NVlabs / denoising-diffusion-gan
  Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
  ☆752Updated 3 years ago
• kpandey008 / DiffuseVAE
  Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
  ☆379Updated 3 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆151Updated 4 years ago
• DPS2022 / diffusion-posterior-sampling
  Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
  ☆597Updated 2 years ago
• toshas / torch-fidelity
  High-fidelity performance metrics for generative models in PyTorch
  ☆1,157Updated last month
• NVlabs / edm2
  EDM2 and Autoguidance -- Official PyTorch implementation
  ☆805Updated last year
• Kinyugo / consistency_models
  A mini-library for training consistency models.
  ☆251Updated 2 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆104Updated last year
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆148Updated 5 years ago
• w86763777 / pytorch-ddpm
  Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
  ☆631Updated last year
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆917Updated last year