kuleshov-group / discrete-diffusion-guidance
Simple Guidance Mechanisms for Discrete Diffusion Models
☆22Updated 2 months ago
Alternatives and similar repositories for discrete-diffusion-guidance:
Users that are interested in discrete-diffusion-guidance are comparing it to the libraries listed below
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆66Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆46Updated this week
- Code for the paper https://arxiv.org/abs/2402.04997☆68Updated last year
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆28Updated 4 months ago
- Code for https://arxiv.org/abs/2406.04329☆58Updated 2 months ago
- Educational implementation of the Discrete Flow Matching paper☆76Updated 5 months ago
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆57Updated 10 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆45Updated 5 months ago
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆27Updated 10 months ago
- ☆98Updated 9 months ago
- ☆23Updated 6 months ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆86Updated this week
- ☆23Updated this week
- Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"☆66Updated last month
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆23Updated last year
- Code for the paper DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents, ICML 2024☆80Updated 8 months ago
- ☆13Updated last year
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"☆25Updated 5 months ago
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆44Updated last month
- Generative Equilibrium Transformer☆17Updated last year
- ☆41Updated last week
- ICML23 "Latent Traversals in Generative Models as Potential Flows"☆26Updated last year
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆19Updated 7 months ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆48Updated 10 months ago
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆95Updated 4 months ago
- ☆12Updated last year
- [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"☆51Updated 9 months ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆51Updated last year
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆35Updated 9 months ago
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆35Updated 6 months ago