Alternatives and similar repositories for DSNO

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

• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆79Updated 2 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆193Updated 10 months ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated 2 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆209Updated 2 years ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆84Updated last year
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆188Updated 4 years ago
• sony / fp-diffusion
  ☆31Updated last year
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆15Updated 11 months ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆61Updated 3 years ago
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆67Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated 3 weeks ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆104Updated last year
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆59Updated 7 months ago
• hieuristic / Tutorial_4
  A Tutorial for Diffusion Models
  ☆60Updated 2 years ago
• GavinKerrigan / functional_diffusion
  ☆26Updated 2 years ago
• aailab-kaist / DBAE
  [ICLR 2025 Spotlight] Official PyTorch implementation for Diffusion Bridge AutoEncoders for Unsupervised Representation Learning (DBAE).
  ☆38Updated 9 months ago
• YasminZhang / ICTM
  [NeurIPS 2024] Official implementation of NeurIPS 2024 paepr "Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory …
  ☆25Updated 10 months ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆89Updated 10 months ago
• google-deepmind / functa
  ☆160Updated last year
• zhangbingliang2019 / DAPS
  [CVPR 2025 Oral] Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
  ☆171Updated 3 weeks ago
• gabrielvc / mcg_diff
  Official repository for the Monte Carlo guided Diffusion for Bayesian linear inverse problems paper:
  ☆21Updated last year
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆64Updated 3 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆88Updated 3 years ago
• annegnx / PnP-Flow
  Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)
  ☆136Updated 3 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• zhangbingliang2019 / STeP
  STeP: a general and scalable framework for solving video inverse problems with spatiotemporal diffusion priors
  ☆29Updated 6 months ago
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆71Updated 3 months ago
• malbergo / stochastic-interpolants
  ☆200Updated last year
• thu-ml / i-DODE
  Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)
  ☆18Updated 10 months ago
• yuanzhi-zhu / mini_edm
  Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist
  ☆64Updated 2 years ago