{"total":23,"rows":[{"id":"2405.18881","title":"Inference-Time Alignment of Diffusion Models with Direct Noise Optimization","created":"2024-05-29","cited_by_count":55,"area":"diffusion"},{"id":"2502.02588","title":"Calibrated Multi-Preference Optimization for Aligning Diffusion Models","created":"2025-02-04","cited_by_count":41,"area":"diffusion"},{"id":"2409.07253","title":"Alignment of Diffusion Models: Fundamentals, Challenges, and Future","created":"2024-09-11","cited_by_count":35,"area":"diffusion"},{"id":"2410.07171","title":"IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation","created":"2024-10-09","cited_by_count":33,"area":"diffusion"},{"id":"2605.10759","title":"Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models","created":"2026-05-11","cited_by_count":19,"area":"diffusion"},{"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":"2410.08315","title":"Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning","created":"2024-10-10","cited_by_count":12,"area":"diffusion"},{"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":"2507.00445","title":"Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design","created":"2025-07-01","cited_by_count":11,"area":"diffusion"},{"id":"2410.10166","title":"Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models","created":"2024-10-14","cited_by_count":5,"area":"diffusion"},{"id":"2505.22008","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","created":"2025-05-28","cited_by_count":5,"area":"diffusion"},{"id":"2507.22604","title":"ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning","created":"2025-07-30","cited_by_count":5,"area":"diffusion"},{"id":"2510.02692","title":"Fine-Tuning Diffusion Models via Intermediate Distribution Shaping","created":"2025-10-03","cited_by_count":4,"area":"diffusion"},{"id":"2404.00879","title":"Model-Agnostic Human Preference Inversion in Diffusion Models","created":"2024-04-01","cited_by_count":3,"area":"diffusion"},{"id":"2505.15791","title":"VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL","created":"2025-05-21","cited_by_count":3,"area":"diffusion"},{"id":"2505.17352","title":"Alignment and Safety of Diffusion Models via Reinforcement Learning and Reward Modeling: A Survey","created":"2025-05-23","cited_by_count":3,"area":"diffusion"},{"id":"2510.18353","title":"Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback","created":"2025-10-21","cited_by_count":3,"area":"diffusion"},{"id":"2502.14070","title":"DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models","created":"2025-02-19","cited_by_count":2,"area":"diffusion"},{"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":"2509.20570","title":"PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models","created":"2025-09-24","cited_by_count":2,"area":"diffusion"},{"id":"2603.20828","title":"EruDiff: Refactoring Knowledge in Diffusion Models for Advanced Text-to-Image Synthesis","created":"2026-03-21","cited_by_count":1,"area":"diffusion"},{"id":"2505.07477","title":"You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts","created":"2025-05-12","cited_by_count":0,"area":"diffusion"},{"id":"2608.29507","title":"Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion","created":"2026-08-30","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}