locuslab / deq-ddim
☆61Updated last year
Alternatives and similar repositories for deq-ddim:
Users that are interested in deq-ddim are comparing it to the libraries listed below
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆79Updated last week
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆58Updated 2 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆59Updated 2 years ago
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆55Updated last year
- ☆49Updated 3 years ago
- Improved diffusion generative models with subspaces☆133Updated 2 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆104Updated 3 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆85Updated 3 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆35Updated 3 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 3 months ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆70Updated last year
- Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"☆53Updated last year
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆51Updated last year
- Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…☆106Updated 2 years ago
- [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator☆156Updated 2 years ago
- Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models☆82Updated 3 years ago
- 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
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆62Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆136Updated 3 years ago
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆157Updated last year
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper☆29Updated last year
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- ☆39Updated last year
- [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'☆25Updated 9 months ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models☆30Updated 3 months ago