jaemoo-choi / Unbalanced-Optimal-Transport-Generative-ModelLinks
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)
☆19Updated last year
Alternatives and similar repositories for Unbalanced-Optimal-Transport-Generative-Model
Users that are interested in Unbalanced-Optimal-Transport-Generative-Model are comparing it to the libraries listed below
Sorting:
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆151Updated 4 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆193Updated 10 months ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆61Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Updated 3 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆64Updated 3 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆61Updated 3 years ago
- PyTorch implementation of Variational Diffusion Models.☆104Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆188Updated 4 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆89Updated 10 months ago
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆50Updated 3 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆119Updated 2 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆90Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 5 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated 2 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated 2 years ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆18Updated 9 months ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆28Updated 2 years ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆79Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆41Updated this week
- Neural Diffusion Processes☆80Updated last year
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆200Updated 2 years ago
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 3 years ago
- ☆229Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.☆40Updated last year
- ☆24Updated 3 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆27Updated last year