yilundu / reduce_reuse_recycleLinks
ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC
☆146Updated 11 months ago
Alternatives and similar repositories for reduce_reuse_recycle
Users that are interested in reduce_reuse_recycle are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆158Updated last year
- GENIE: Higher-Order Denoising Diffusion Solvers☆95Updated last year
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆43Updated 4 months ago
- A mini-library for training consistency models.☆248Updated last year
- Improved diffusion generative models with subspaces☆135Updated 3 years ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆187Updated 3 months ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆77Updated 2 years ago
- [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"☆53Updated last year
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Code for the the ICLR 2024 paper "∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States"☆103Updated last year
- ☆211Updated 2 years ago
- [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator☆158Updated 2 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)☆90Updated last year
- ☆49Updated last year
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆122Updated 11 months ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆71Updated last year
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆58Updated last year
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆35Updated last year
- Implementation of "Analyzing and Improving the Training Dynamics of Diffusion Models"☆95Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆79Updated last year
- Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.☆19Updated 2 years ago
- ☆158Updated last year
- Consistency models trained on CIFAR-10, in JAX.☆153Updated 2 years ago
- Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…☆204Updated last year
- NF-Layers for constructing neural functionals.☆89Updated last year
- Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper☆30Updated 2 years ago
- ☆60Updated 2 months ago
- PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight☆148Updated last year