maxjcohen / diffusion-bridges
Implementation of the paper Diffusion Bridges Vector Quantized Variational Autoencoders.
☆18Updated last year
Alternatives and similar repositories for diffusion-bridges:
Users that are interested in diffusion-bridges are comparing it to the libraries listed below
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆143Updated 3 years ago
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆55Updated 2 years ago
- ☆50Updated 4 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆104Updated 3 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆118Updated last year
- [ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation☆9Updated 3 months ago
- A minimalist implementation of score-based diffusion model☆126Updated 3 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆85Updated 3 years ago
- ☆127Updated last year
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆68Updated last year
- Official implementation of Transformer Neural Processes☆74Updated 2 years ago
- Package for working with hypernetworks in PyTorch.☆123Updated last year
- Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)☆187Updated 2 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago
- Improved diffusion generative models with subspaces☆133Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆82Updated 3 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆90Updated 4 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆61Updated 2 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆73Updated 5 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
- ☆61Updated 2 years ago
- ☆312Updated 2 years ago
- Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…☆107Updated 2 years ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆49Updated last year
- Code for the paper Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022 Outsta…☆171Updated 2 years ago
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…☆73Updated 2 years ago
- ☆23Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆124Updated 3 years ago