thu-ml / implicit-normalizing-flowsLinks
Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
☆36Updated 4 years ago
Alternatives and similar repositories for implicit-normalizing-flows
Users that are interested in implicit-normalizing-flows are comparing it to the libraries listed below
Sorting:
- ☆63Updated 2 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models☆83Updated 4 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆63Updated 3 years ago
- [ECCV 2022 & IJCV 2025] Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling☆61Updated 6 months ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 3 years ago
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆50Updated 3 years ago
- Improved diffusion generative models with subspaces☆135Updated 3 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…☆109Updated 3 years ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆29Updated 4 years ago
- ☆32Updated 4 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆90Updated 4 years ago
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆57Updated 2 years ago
- [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator☆159Updated 2 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Updated 2 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- ☆52Updated 4 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆88Updated 7 months ago
- Official code for "On Calibrating Diffusion Probabilistic Models"☆30Updated 2 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆79Updated 2 years ago
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆31Updated 11 months ago
- ☆37Updated 4 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆196Updated last year
- ☆41Updated 2 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 5 years ago