{"total":81,"rows":[{"id":"2305.13301","title":"Training Diffusion Models with Reinforcement Learning","created":"2023-05-22","cited_by_count":982,"area":"diffusion"},{"id":"2305.16381","title":"DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models","created":"2023-05-25","cited_by_count":450,"area":"diffusion"},{"id":"2309.17400","title":"Directly Fine-Tuning Diffusion Models on Differentiable Rewards","created":"2023-09-29","cited_by_count":448,"area":"diffusion"},{"id":"2409.00588","title":"Diffusion Policy Policy Optimization","created":"2024-09-01","cited_by_count":280,"area":"diffusion"},{"id":"2311.13231","title":"Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model","created":"2023-11-22","cited_by_count":252,"area":"diffusion"},{"id":"2507.21802","title":"MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE","created":"2025-07-29","cited_by_count":178,"area":"diffusion"},{"id":"2404.04465","title":"Aligning Diffusion Models by Optimizing Human Utility","created":"2024-04-06","cited_by_count":101,"area":"diffusion"},{"id":"2407.16677","title":"From Imitation to Refinement -- Residual RL for Precise Assembly","created":"2024-07-23","cited_by_count":90,"area":null},{"id":"2312.12490","title":"InstructVideo: Instructing Video Diffusion Models with Human Feedback","created":"2023-12-19","cited_by_count":86,"area":"diffusion"},{"id":"2412.13630","title":"Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model","created":"2024-12-18","cited_by_count":70,"area":"offlinerl"},{"id":"2402.07487","title":"Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial","created":"2024-02-12","cited_by_count":60,"area":"diffusion"},{"id":"2402.08265","title":"A Dense Reward View on Aligning Text-to-Image Diffusion with Preference","created":"2024-02-13","cited_by_count":55,"area":"diffusion"},{"id":"2406.06424","title":"Margin-aware Preference Optimization for Aligning Diffusion Models without Reference","created":"2024-06-10","cited_by_count":46,"area":"diffusion"},{"id":"2304.04262","title":"A Comprehensive Survey on Knowledge Distillation of Diffusion Models","created":"2023-04-09","cited_by_count":45,"area":"diffusion"},{"id":"2402.10309","title":"Discrete Probabilistic Inference as Control in Multi-path Environments","created":"2024-02-15","cited_by_count":44,"area":null},{"id":"2402.08714","title":"PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models","created":"2024-02-13","cited_by_count":42,"area":"diffusion"},{"id":"2403.06279","title":"Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond","created":"2024-03-10","cited_by_count":42,"area":"diffusion"},{"id":"2405.15506","title":"Learning to Discretize Denoising Diffusion ODEs","created":"2024-05-24","cited_by_count":41,"area":"diffusion"},{"id":"2505.17618","title":"Scaling Image and Video Generation via Test-Time Evolutionary Search","created":"2025-05-23","cited_by_count":40,"area":"lr"},{"id":"2401.05675","title":"Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation","created":"2024-01-11","cited_by_count":36,"area":"alignment"},{"id":"2502.01819","title":"Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning","created":"2025-02-03","cited_by_count":33,"area":"diffusion"},{"id":"2402.08552","title":"Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases","created":"2024-02-13","cited_by_count":30,"area":"diffusion"},{"id":"2509.06942","title":"Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference","created":"2025-09-08","cited_by_count":30,"area":"diffusion"},{"id":"2410.19310","title":"Flow Generator Matching","created":"2024-10-25","cited_by_count":26,"area":"diffusion"},{"id":"2411.16308","title":"An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models","created":"2024-11-25","cited_by_count":23,"area":"diffusion"},{"id":"2509.21655","title":"DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models","created":"2025-09-25","cited_by_count":23,"area":"lr"},{"id":"2311.14768","title":"AdaDiff: Adaptive Step Selection for Fast Diffusion Models","created":"2023-11-24","cited_by_count":20,"area":"diffusion"},{"id":"2408.15094","title":"Constrained Diffusion Models via Dual Training","created":"2024-08-27","cited_by_count":20,"area":"diffusion"},{"id":"2409.08400","title":"Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning","created":"2024-09-12","cited_by_count":19,"area":"diffusion"},{"id":"2412.18164","title":"Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence","created":"2024-12-24","cited_by_count":19,"area":"diffusion"},{"id":"2503.13070","title":"Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation","created":"2025-03-17","cited_by_count":19,"area":"diffusion"},{"id":"2401.08815","title":"Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive","created":"2024-01-16","cited_by_count":18,"area":"diffusion"},{"id":"2512.24146","title":"Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning","created":"2025-12-30","cited_by_count":18,"area":"diffusion"},{"id":"2309.07867","title":"Beta Diffusion","created":"2023-09-14","cited_by_count":17,"area":"diffusion"},{"id":"2408.00418","title":"Towards Reliable Advertising Image Generation Using Human Feedback","created":"2024-08-01","cited_by_count":16,"area":null},{"id":"2411.15247","title":"Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward","created":"2024-11-22","cited_by_count":16,"area":"diffusion"},{"id":"2501.08259","title":"FDPP: Fine-tune Diffusion Policy with Human Preference","created":"2025-01-14","cited_by_count":15,"area":"diffusion"},{"id":"2402.16302","title":"Graph Diffusion Policy Optimization","created":"2024-02-26","cited_by_count":13,"area":"diffusion"},{"id":"2409.00342","title":"AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation","created":"2024-08-31","cited_by_count":13,"area":null},{"id":"2409.06493","title":"Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models","created":"2024-09-09","cited_by_count":13,"area":"diffusion"},{"id":"2504.02367","title":"Reinforcement Fine-Tuning for Materials Design","created":"2025-04-03","cited_by_count":13,"area":null},{"id":"2411.11727","title":"Aligning Few-Step Diffusion Models with Dense Reward Difference Learning","created":"2024-11-18","cited_by_count":12,"area":"diffusion"},{"id":"2308.14328","title":"Reinforcement Learning for Generative AI: A Survey","created":"2023-08-28","cited_by_count":11,"area":null},{"id":"2602.05533","title":"Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach","created":"2026-02-05","cited_by_count":11,"area":"diffusion"},{"id":"2508.19104","title":"Composition and Alignment of Diffusion Models using Constrained Learning","created":"2025-08-26","cited_by_count":10,"area":"diffusion"},{"id":"2511.18719","title":"Seeing What Matters: Visual Preference Policy Optimization for Visual Generation","created":"2025-11-24","cited_by_count":10,"area":"lr"},{"id":"2501.06481","title":"Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation","created":"2025-01-11","cited_by_count":9,"area":"alignment"},{"id":"2506.12323","title":"Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback","created":"2025-06-14","cited_by_count":9,"area":"alignment"},{"id":"2510.14847","title":"ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints","created":"2025-10-16","cited_by_count":9,"area":null},{"id":"2511.18833","title":"PrismAudio: Decomposed Chain-of-Thoughts and Multi-dimensional Rewards for Video-to-Audio Generation","created":"2025-11-24","cited_by_count":9,"area":"lr"},{"id":"2512.01236","title":"PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards","created":"2025-12-01","cited_by_count":9,"area":null},{"id":"2602.00424","title":"Open Materials Generation with Inference-Time Reinforcement Learning","created":"2026-01-31","cited_by_count":8,"area":"deeprl"},{"id":"2604.23380","title":"V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think","created":"2026-04-25","cited_by_count":7,"area":"lr"},{"id":"2603.14128","title":"Diffusion Reinforcement Learning via Centered Reward Distillation","created":"2026-03-14","cited_by_count":5,"area":"diffusion"},{"id":"2605.06583","title":"Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline","created":"2026-05-07","cited_by_count":5,"area":"alignment"},{"id":"2605.15803","title":"Embedding-perturbed Exploration Preference Optimization for Flow Models","created":"2026-05-15","cited_by_count":5,"area":"alignment"},{"id":"2407.00626","title":"Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models","created":"2024-06-30","cited_by_count":4,"area":"diffusion"},{"id":"2505.11178","title":"CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback","created":"2025-05-16","cited_by_count":4,"area":"diffusion"},{"id":"2510.00502","title":"Diffusion Alignment as Variational Expectation-Maximization","created":"2025-10-01","cited_by_count":4,"area":"diffusion"},{"id":"2605.11480","title":"Efficient Adjoint Matching for Fine-tuning Diffusion Models","created":"2026-05-12","cited_by_count":4,"area":"diffusion"},{"id":"2606.22394","title":"Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning","created":"2026-06-21","cited_by_count":4,"area":"diffusion"},{"id":"2509.02528","title":"Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models","created":"2025-09-02","cited_by_count":3,"area":"diffusion"},{"id":"2510.21153","title":"Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design","created":"2025-10-24","cited_by_count":3,"area":"diffusion"},{"id":"2312.00820","title":"Non-Cross Diffusion for Semantic Consistency","created":"2023-11-30","cited_by_count":2,"area":"diffusion"},{"id":"2502.12198","title":"Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control","created":"2025-02-16","cited_by_count":2,"area":"alignment"},{"id":"2505.20107","title":"Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning","created":"2025-05-26","cited_by_count":2,"area":"diffusion"},{"id":"2506.05367","title":"Text2Stereo: Repurposing Stable Diffusion for Stereo Generation with Consistency Rewards","created":"2025-05-27","cited_by_count":2,"area":"diffusion"},{"id":"2604.19234","title":"Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation","created":"2026-04-21","cited_by_count":2,"area":"lr"},{"id":"2511.03827","title":"STARS: Synchronous Token Alignment for Robust Supervision in Large Language Models","created":"2025-11-05","cited_by_count":1,"area":"alignment"},{"id":"2603.06993","title":"AdaGen: Learning Adaptive Policy for Image Synthesis","created":"2026-03-07","cited_by_count":1,"area":"diffusion"},{"id":"2607.02291","title":"Optimizing Visual Generative Models via Distribution-wise Rewards","created":"2026-07-02","cited_by_count":1,"area":"alignment"},{"id":"2607.05711","title":"FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models","created":"2026-07-07","cited_by_count":1,"area":"diffusion"},{"id":"2609.35947","title":"FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models","created":"2026-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2312.03397","title":"Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning","created":"2023-12-06","cited_by_count":0,"area":"diffusion"},{"id":"2502.06023","title":"Dual Caption Preference Optimization for Diffusion Models","created":"2025-02-09","cited_by_count":0,"area":"diffusion"},{"id":"2511.06937","title":"Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization","created":"2025-11-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.20209","title":"NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control","created":"2026-04-15","cited_by_count":0,"area":"diffusion"},{"id":"2605.21661","title":"Hierarchical Variational Policies for Reward-Guided Diffusion","created":"2026-05-20","cited_by_count":0,"area":"diffusion"},{"id":"2606.14351","title":"ForceForget: Reinforcement Concept Removal for Enhancing Safety in Text-to-Image Models","created":"2026-06-12","cited_by_count":0,"area":"safety"},{"id":"2606.16941","title":"A nonparametric two-sample test using a parametric integral probability metric","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2607.00486","title":"PAPA: Online Personalized Active Preference Alignment","created":"2026-07-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}