Alternatives and similar repositories for CLD-SGM

Users that are interested in CLD-SGM are comparing it to the libraries listed below

• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆133Updated 3 years ago
• qsh-zh / deis
  [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator
  ☆157Updated 2 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆146Updated 3 years ago
• nv-tlabs / GENIE
  GENIE: Higher-Order Denoising Diffusion Solvers
  ☆94Updated last year
• google-research / vdm
  ☆315Updated 2 years ago
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆363Updated 3 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years ago
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆157Updated last year
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆90Updated 4 years ago
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆70Updated 2 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆158Updated 3 months ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆82Updated last year
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆149Updated last year
• lucidrains / recurrent-interface-network-pytorch
  Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…
  ☆203Updated last year
• ehoogeboom / multinomial_diffusion
  ☆221Updated 2 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated last year
• samb-t / unleashing-transformers
  Code for the ECCV 2022 paper "Unleashing Transformers"
  ☆185Updated 2 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆127Updated 3 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• Kinyugo / consistency_models
  A mini-library for training consistency models.
  ☆244Updated last year
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆86Updated 4 years ago
• mmathew23 / improved_edm
  Implementation of "Analyzing and Improving the Training Dynamics of Diffusion Models"
  ☆94Updated last year
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆167Updated 3 years ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆305Updated 3 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆147Updated 5 years ago
• angusturner / diffuse
  PyTorch implementation of diffusion models.
  ☆59Updated 3 years ago
• smsharma / consistency-models
  Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.
  ☆20Updated last year
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆38Updated 4 years ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year