Jae-Moo / Unbalanced-Optimal-Transport-Generative-Model
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)
☆16Updated 11 months ago
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
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆17Updated 2 years ago
- Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.☆40Updated 11 months ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆35Updated 3 years ago
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆50Updated 2 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆82Updated 2 months ago
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆60Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆55Updated 2 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 5 months ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆25Updated last year
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆55Updated 2 years ago
- Official PyTorch implementation of the ICML 2023 paper "Adaptive IMLE for Few-shot Pretraining-free Generative Modelling "☆16Updated 2 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 7 months ago
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆30Updated 5 months ago
- ☆50Updated 4 years ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆38Updated 8 months ago
- ☆28Updated 3 years ago
- Improved diffusion generative models with subspaces☆133Updated 2 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- ☆24Updated 3 years ago
- Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023☆30Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆143Updated 3 years ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆18Updated last month
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- Official implementation of the paper "Unifying GANs and Score-Based Diffusion as Generative Particle Models", NeurIPS 2023☆25Updated 3 months ago
- ☆45Updated 11 months ago