dbsxodud-11 / PAGLinks
Official Code for Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation (CVPR 2025)
☆11Updated 8 months ago
Alternatives and similar repositories for PAG
Users that are interested in PAG are comparing it to the libraries listed below
Sorting:
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆29Updated last year
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆35Updated 2 years ago
- Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"☆28Updated 7 months ago
- Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023☆30Updated 2 years ago
- ☆40Updated last year
- Inference-Time Alignment in Protein Diffusion Models☆48Updated 11 months ago
- Official implementation for Diffusion Alignment as Sampling (DAS), ICLR'25, Spotlight☆55Updated 10 months ago
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆155Updated last year
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data" (ICLR…☆72Updated 6 months ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆68Updated 3 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）☆50Updated 2 years ago
- Educational implementation of the Discrete Flow Matching paper☆126Updated last year
- ☆23Updated 10 months ago
- Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist☆64Updated 2 years ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆64Updated last year
- Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation☆51Updated last year
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆72Updated last month
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆57Updated 6 months ago
- ☆25Updated last year
- ☆57Updated last year
- Graph Diffusion Policy Optimization☆41Updated last year
- Remasking Discrete Diffusion Models with Inference-Time Scaling☆62Updated 9 months ago
- Code repository for Trajectory Flow Matching☆94Updated last year
- ☆44Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆82Updated last year
- Official Codebase for "Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control" (NeurIPS 2024)☆15Updated last year
- [ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models☆37Updated last year
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆127Updated last year
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆41Updated last year
- Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Fi…☆49Updated last year