rubenohana / Gibbs-DiffusionLinks
Code of the paper "Listening to the Noise: Blind Denoising with Gibbs Diffusion"
☆33Updated last year
Alternatives and similar repositories for Gibbs-Diffusion
Users that are interested in Gibbs-Diffusion are comparing it to the libraries listed below
Sorting:
- Diffusion models in PyTorch☆106Updated 3 weeks ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 4 months ago
- [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"☆53Updated last year
- ☆33Updated 6 months ago
- Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)☆89Updated 4 months ago
- Flow-matching algorithms in JAX☆97Updated 11 months ago
- ☆32Updated 8 months ago
- ☆23Updated 7 months ago
- ☆23Updated last year
- The 2D discrete wavelet transform for JAX☆43Updated 2 years ago
- ☆238Updated 7 months ago
- Code for "Journey to the BAOAB-limit: finding effective MCMC samplers for score-based models". See more at https://ajayj.com/journey.☆12Updated 2 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆45Updated 3 weeks ago
- ☆158Updated last year
- A demo for the Direct Ascent Synthesis: Hidden Generative Capabilities in Discriminative Models paper (https://arxiv.org/abs/2502.07753)☆39Updated 4 months ago
- [ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance☆54Updated 9 months ago
- ☆16Updated last month
- RS-IMLE☆41Updated 7 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆131Updated last year
- Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.☆20Updated 2 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆54Updated last week
- Code for NeurIPS 2023 paper "Restart Sampling for Improving Generative Processes"☆149Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆38Updated last month
- Posterior Sampling using Latent Diffusion - NeurIPS 2023☆152Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆85Updated 5 months ago
- Focused on fast experimentation and simplicity☆76Updated 6 months ago
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆30Updated 8 months ago
- Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)☆18Updated 4 months ago