Daniil-Selikhanovych / ASBMLinks
PyTorch implementation of "Adversarial Schrödinger Bridge Matching" (NeurIPS 2024)
☆18Updated 3 weeks ago
Alternatives and similar repositories for ASBM
Users that are interested in ASBM are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆56Updated 10 months ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆41Updated 10 months ago
- PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)☆20Updated 6 months ago
- PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆19Updated 6 months ago
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆18Updated 9 months ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- [ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models☆35Updated last year
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆25Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆24Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆84Updated 4 months ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆161Updated 4 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆71Updated last year
- ☆13Updated last year
- Official PyTorch implementation for the paper Star-Shaped Denoising Diffusion Probabilistic Models☆22Updated 6 months ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆18Updated 3 months ago
- Official codebase for "Diffusion Bridge Implicit Models" (ICLR 2025) and "Consistency Diffusion Bridge Models" (NeurIPS 2024)☆67Updated 3 months ago
- [CVPR 2025 Oral] Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing☆111Updated last week
- [ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance☆54Updated 8 months ago
- Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)☆86Updated 3 months ago
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆62Updated last year
- Official implementation of our paper "Bidirectional Consistency Models"; and reproduced Improved Consistency Models (iCT).☆19Updated last month
- Simple Guidance Mechanisms for Discrete Diffusion Models☆43Updated 6 months ago
- The official codebase for Reflected Flow Matching (ICML 2024)☆18Updated last year
- An official pytorch implementation of AAAI 2024 paper "Latent Space Editing in Transformer-based Flow Matching"☆42Updated last year
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆33Updated last year
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆36Updated 3 weeks ago
- Official implementation of Learning to Discretize Denoising Diffusion ODEs☆22Updated last month
- Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Fi…☆42Updated 10 months ago
- ☆46Updated last year
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆114Updated 8 months ago