Alternatives and similar repositories for BDBM

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

• YWolfeee / Training-Free-Guidance
  Code for TFG: Unified Training-Free Guidance for Diffusion Models
  ☆72Updated last month
• KellyYutongHe / mpgd_pytorch
  The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)
  ☆38Updated last year
• thu-ml / DiffusionBridge
  Official codebase for "Diffusion Bridge Implicit Models" (ICLR 2025) and "Consistency Diffusion Bridge Models" (NeurIPS 2024)
  ☆98Updated 3 months ago
• mlvlab / DDMI
  Official Implementation (Pytorch) of "DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Represe…
  ☆28Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆82Updated last year
• aailab-kaist / DBAE
  [ICLR 2025 Spotlight] Official PyTorch implementation for Diffusion Bridge AutoEncoders for Unsupervised Representation Learning (DBAE).
  ☆38Updated 9 months ago
• yukang123 / GGDMOptim
  [NeurIPS2024] Official Codes of the Paper "Gradient Guidance for Diffusion Models: An Optimization Perspective"
  ☆24Updated 9 months ago
• s-sahoo / MuLAN
  [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models
  ☆30Updated last year
• nktoan / h-edit
  [CVPR 2025] h-Edit: Effective and Flexible Diffusion-Based Editing via Doob’s h-Transform
  ☆65Updated 6 months ago
• VinAIResearch / DiMSUM
  DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation (NeurIPS 2024)
  ☆42Updated 10 months ago
• LabForComputationalVision / memorization_generalization_in_diffusion_models
  ☆51Updated last year
• krafton-ai / DAS
  Official implementation for Diffusion Alignment as Sampling (DAS), ICLR'25, Spotlight
  ☆55Updated 10 months ago
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆96Updated last year
• Alokia / Idempotent-Generative-Network
  Idempotent Generative Network's unofficial pytorch implementation
  ☆46Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated this week
• hyungjin-chung / CDDB
  Official PyTorch implementation of [Direct Diffusion Bridge using Data Consistency for Inverse Problems](https://arxiv.org/abs/2305.19809…
  ☆57Updated 2 years ago
• cognaclee / DPM-OT
  ☆44Updated 2 months ago
• vinhsuhi / LD3
  Official implementation of Learning to Discretize Denoising Diffusion ODEs
  ☆31Updated 7 months ago
• CompVis / discrete-interpolants
  The official implementation of "[MASK] is All You Need"
  ☆125Updated 4 months ago
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆57Updated 6 months ago
• sangyun884 / rfpp
  The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024
  ☆127Updated last year
• alexzhou907 / DDBM
  ☆249Updated last year
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆67Updated 2 years ago
• 1202kbs / DMCMC
  Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper
  ☆31Updated 2 years ago
• enkeejunior1 / Diffusion-Pullback
  Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)
  ☆91Updated last year
• dorarad / soda
  Official repository for "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆27Updated last year
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆89Updated 10 months ago
• lukemelas / fixed-point-diffusion-models
  ☆57Updated last year
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆68Updated 3 months ago
• zhangbingliang2019 / STeP
  STeP: a general and scalable framework for solving video inverse problems with spatiotemporal diffusion priors
  ☆29Updated 6 months ago