milenagazdieva / ExtremalNeuralOptimalTransport
PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)
☆16Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for ExtremalNeuralOptimalTransport
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆23Updated last year
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆184Updated 11 months ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 8 months ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆42Updated 3 months ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆120Updated last year
- ☆163Updated 7 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆19Updated 8 months ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆34Updated 3 months ago
- ☆11Updated last year
- NeurIPS23 "Flow Factorized Representation Learning"☆33Updated 3 weeks ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆12Updated 9 months ago
- Official PyTorch implementation for the paper Star-Shaped Denoising Diffusion Probabilistic Models☆17Updated last month
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆14Updated 2 years ago
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆54Updated 2 years ago
- The aim of this repository is to test and implement Flow-Matching-based models☆36Updated this week
- ☆37Updated last year
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆14Updated 2 months ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆21Updated last year
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆47Updated 11 months ago
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆23Updated 7 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆43Updated 7 months ago
- ICML23 "Latent Traversals in Generative Models as Potential Flows"☆26Updated last year
- Official PyTorch implementation of [Direct Diffusion Bridge using Data Consistency for Inverse Problems](https://arxiv.org/abs/2305.19809…☆34Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆77Updated 6 months ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆59Updated last year
- An official implementation of CVPR 2023 "Self-Guided Diffusion Models"☆23Updated last year
- ☆20Updated last month
- Code for "Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing"☆41Updated 3 months ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆15Updated 9 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆29Updated 2 years ago