Alternatives and similar repositories for gDDIM

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

• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆61Updated 2 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆84Updated 4 months ago
• locuslab / deq-ddim
  ☆61Updated 2 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆133Updated 3 years ago
• giannisdaras / cdm
  [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"
  ☆56Updated 2 years ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆71Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆36Updated 8 months ago
• thu-ml / i-DODE
  Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)
  ☆18Updated 3 months ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆59Updated 3 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆161Updated 4 months ago
• SKholkin / LightSB-Matching
  Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation
  ☆41Updated 10 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• 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 / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆72Updated 2 years ago
• KellyYutongHe / mpgd_pytorch
  The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)
  ☆33Updated last year
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆36Updated 3 weeks ago
• yuanzhi-zhu / mini_edm
  Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist
  ☆54Updated last year
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• 1202kbs / DMCMC
  Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper
  ☆29Updated last year
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• sangyun884 / rfpp
  The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024
  ☆114Updated 8 months ago
• sony / fp-diffusion
  ☆28Updated last year
• tyuxie / RFM
  The official codebase for Reflected Flow Matching (ICML 2024)
  ☆18Updated last year
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆62Updated last year
• neuraloperator / DSNO
  ☆27Updated last year
• Jhomanik / Optimal-Flow-Matching
  The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)
  ☆77Updated 6 months ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆87Updated 4 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• apple / ml-agm
  ☆44Updated last year