kuleshov-group / discrete-diffusion-guidance
Simple Guidance Mechanisms for Discrete Diffusion Models
☆37Updated 5 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
Sorting:
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆58Updated 3 weeks ago
- Educational implementation of the Discrete Flow Matching paper☆88Updated 8 months ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆78Updated 2 months ago
- Inference-Time Alignment in Protein Diffusion Models☆34Updated 3 months ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆68Updated last year
- Code for the paper https://arxiv.org/abs/2402.04997☆77Updated last year
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆49Updated this week
- The Superposition of Diffusion Models Using the Itô Density Estimator☆43Updated last month
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆141Updated 2 months ago
- ☆109Updated last year
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆31Updated 7 months ago
- Code for the paper https://arxiv.org/abs/2205.14987v2☆49Updated last year
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control☆26Updated 2 weeks ago
- Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"☆20Updated 2 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆56Updated 2 months ago
- A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).☆25Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆68Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated 2 months ago
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆37Updated last year
- Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling".☆26Updated last month
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆55Updated this week
- Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.☆26Updated 6 months ago
- ☆29Updated 9 months ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆52Updated last year
- A Tutorial for Diffusion Models☆51Updated last year
- ☆13Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆154Updated 2 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆53Updated last month
- Derivative-Free, Training-Free, Guidance in Diffusion Models☆13Updated 7 months ago