{"total":333,"rows":[{"id":"2403.03206","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","created":"2024-03-05","cited_by_count":4181,"area":"diffusion"},{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2409.18869","title":"Emu3: Next-Token Prediction is All You Need","created":"2024-09-27","cited_by_count":781,"area":"diffusion"},{"id":"2412.10117","title":"CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models","created":"2024-12-13","cited_by_count":288,"area":"diffusion"},{"id":"2505.19223","title":"LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models","created":"2025-05-25","cited_by_count":285,"area":"diffusion"},{"id":"2501.13918","title":"Improving Video Generation with Human Feedback","created":"2025-01-23","cited_by_count":284,"area":"diffusion"},{"id":"2403.12015","title":"Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation","created":"2024-03-18","cited_by_count":279,"area":"diffusion"},{"id":"2506.09113","title":"Seedance 1.0: Exploring the Boundaries of Video Generation Models","created":"2025-06-10","cited_by_count":259,"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":"2510.02283","title":"Self-Forcing++: Towards Minute-Scale High-Quality Video Generation","created":"2025-10-02","cited_by_count":192,"area":"diffusion"},{"id":"2506.20639","title":"DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation","created":"2025-06-25","cited_by_count":187,"area":"diffusion"},{"id":"2412.14167","title":"VideoDPO: Omni-Preference Alignment for Video Diffusion Generation","created":"2024-12-18","cited_by_count":108,"area":"diffusion"},{"id":"2407.08737","title":"Video Diffusion Alignment via Reward Gradients","created":"2024-07-11","cited_by_count":107,"area":"diffusion"},{"id":"2404.04465","title":"Aligning Diffusion Models by Optimizing Human Utility","created":"2024-04-06","cited_by_count":101,"area":"diffusion"},{"id":"2501.05803","title":"Test-time Alignment of Diffusion Models without Reward Over-optimization","created":"2025-01-10","cited_by_count":93,"area":"diffusion"},{"id":"2411.09502","title":"Golden Noise for Diffusion Models: A Learning Framework","created":"2024-11-14","cited_by_count":92,"area":"diffusion"},{"id":"2405.18750","title":"T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback","created":"2024-05-29","cited_by_count":87,"area":"diffusion"},{"id":"2402.10210","title":"Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation","created":"2024-02-15","cited_by_count":85,"area":"diffusion"},{"id":"2406.04314","title":"Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization","created":"2024-06-06","cited_by_count":84,"area":"diffusion"},{"id":"2412.21037","title":"TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization","created":"2024-12-30","cited_by_count":68,"area":"diffusion"},{"id":"2407.04842","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","created":"2024-07-05","cited_by_count":66,"area":"diffusion"},{"id":"2509.06040","title":"BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models","created":"2025-09-07","cited_by_count":61,"area":"diffusion"},{"id":"2508.10711","title":"NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale","created":"2025-08-14","cited_by_count":57,"area":"diffusion"},{"id":"2406.02347","title":"Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation","created":"2024-06-04","cited_by_count":56,"area":"diffusion"},{"id":"2509.05952","title":"Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching","created":"2025-09-07","cited_by_count":56,"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":"2410.05677","title":"T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design","created":"2024-10-08","cited_by_count":54,"area":"diffusion"},{"id":"2510.15857","title":"BLIP3o-NEXT: Next Frontier of Native Image Generation","created":"2025-10-17","cited_by_count":54,"area":"diffusion"},{"id":"2402.16359","title":"Feedback Efficient Online Fine-Tuning of Diffusion Models","created":"2024-02-26","cited_by_count":53,"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":"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":"2412.15159","title":"OnlineVPO: Align Video Diffusion Model with Online Video-Centric Preference Optimization","created":"2024-12-19","cited_by_count":41,"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":"2510.09541","title":"SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models","created":"2025-10-10","cited_by_count":41,"area":"diffusion"},{"id":"2503.01645","title":"DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models","created":"2025-03-03","cited_by_count":40,"area":"diffusion"},{"id":"2605.15055","title":"DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models","created":"2026-05-14","cited_by_count":40,"area":"diffusion"},{"id":"2502.01051","title":"Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization","created":"2025-02-03","cited_by_count":37,"area":"diffusion"},{"id":"2405.13637","title":"Curriculum Direct Preference Optimization for Diffusion and Consistency Models","created":"2024-05-22","cited_by_count":36,"area":"diffusion"},{"id":"2512.23464","title":"HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation","created":"2025-12-29","cited_by_count":36,"area":"diffusion"},{"id":"2403.11027","title":"Reward Guided Latent Consistency Distillation","created":"2024-03-16","cited_by_count":35,"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":"2506.03517","title":"DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models","created":"2025-06-04","cited_by_count":34,"area":"diffusion"},{"id":"2506.20701","title":"Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models","created":"2025-06-25","cited_by_count":34,"area":"diffusion"},{"id":"2404.04243","title":"Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models","created":"2024-04-05","cited_by_count":33,"area":"diffusion"},{"id":"2406.06382","title":"Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization","created":"2024-06-10","cited_by_count":32,"area":"diffusion"},{"id":"2410.08134","title":"Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction","created":"2024-10-10","cited_by_count":32,"area":"diffusion"},{"id":"2412.07775","title":"Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets","created":"2024-12-10","cited_by_count":32,"area":"diffusion"},{"id":"2503.11240","title":"Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards","created":"2025-03-14","cited_by_count":32,"area":"diffusion"},{"id":"2409.10819","title":"EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer","created":"2024-09-17","cited_by_count":31,"area":"diffusion"},{"id":"2410.18881","title":"Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences","created":"2024-10-24","cited_by_count":31,"area":"diffusion"},{"id":"2503.21765","title":"Exploring the Evolution of Physics Cognition in Video Generation: A Survey","created":"2025-03-27","cited_by_count":31,"area":"diffusion"},{"id":"2503.00897","title":"A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning","created":"2025-03-02","cited_by_count":30,"area":"diffusion"},{"id":"2412.00759","title":"DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling","created":"2024-12-01","cited_by_count":27,"area":"diffusion"},{"id":"2410.03190","title":"Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization","created":"2024-10-04","cited_by_count":26,"area":"diffusion"},{"id":"2510.21615","title":"Epipolar Geometry Improves Video Generation Models","created":"2025-10-24","cited_by_count":26,"area":"diffusion"},{"id":"2407.01648","title":"Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization","created":"2024-07-01","cited_by_count":25,"area":"diffusion"},{"id":"2412.15156","title":"Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM","created":"2024-12-19","cited_by_count":25,"area":"diffusion"},{"id":"2504.16431","title":"Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion","created":"2025-04-23","cited_by_count":25,"area":"diffusion"},{"id":"2504.02407","title":"F5R-TTS: Improving Flow-Matching based Text-to-Speech with Group Relative Policy Optimization","created":"2025-04-03","cited_by_count":24,"area":"diffusion"},{"id":"2603.26599","title":"VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward","created":"2026-03-27","cited_by_count":24,"area":"diffusion"},{"id":"2505.11245","title":"Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models","created":"2025-05-16","cited_by_count":23,"area":"diffusion"},{"id":"2506.07634","title":"SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement","created":"2025-06-09","cited_by_count":23,"area":"diffusion"},{"id":"2601.23286","title":"VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation","created":"2026-01-30","cited_by_count":23,"area":"diffusion"},{"id":"2501.06655","title":"Personalized Preference Fine-tuning of Diffusion Models","created":"2025-01-11","cited_by_count":22,"area":"diffusion"},{"id":"2510.05725","title":"Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies","created":"2025-10-07","cited_by_count":22,"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":"2503.18454","title":"InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment","created":"2025-03-24","cited_by_count":19,"area":"diffusion"},{"id":"2410.11817","title":"Improving Long-Text Alignment for Text-to-Image Diffusion Models","created":"2024-10-15","cited_by_count":18,"area":"diffusion"},{"id":"2510.11000","title":"ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation","created":"2025-10-13","cited_by_count":18,"area":"diffusion"},{"id":"2410.21966","title":"PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference","created":"2024-10-29","cited_by_count":17,"area":"diffusion"},{"id":"2509.23924","title":"Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step","created":"2025-09-28","cited_by_count":17,"area":"diffusion"},{"id":"2512.24138","title":"GARDO: Reinforcing Diffusion Models without Reward Hacking","created":"2025-12-30","cited_by_count":17,"area":"diffusion"},{"id":"2410.12138","title":"Preference Optimization with Multi-Sample Comparisons","created":"2024-10-16","cited_by_count":16,"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":"2307.16680","title":"On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook","created":"2023-07-31","cited_by_count":15,"area":"diffusion"},{"id":"2508.17815","title":"Multi-domain Distribution Learning for De Novo Drug Design","created":"2025-08-25","cited_by_count":15,"area":"diffusion"},{"id":"2510.22950","title":"DiffRhythm 2: Efficient and High Fidelity Song Generation via Block Flow Matching","created":"2025-10-27","cited_by_count":15,"area":"diffusion"},{"id":"2505.22002","title":"D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples","created":"2025-05-28","cited_by_count":14,"area":"diffusion"},{"id":"2402.16302","title":"Graph Diffusion Policy Optimization","created":"2024-02-26","cited_by_count":13,"area":"diffusion"},{"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":"2409.19149","title":"Multimodal Pragmatic Jailbreak on Text-to-image Models","created":"2024-09-27","cited_by_count":13,"area":"diffusion"},{"id":"2502.02088","title":"Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation","created":"2025-02-04","cited_by_count":13,"area":"diffusion"},{"id":"2503.08295","title":"Preference-Based Alignment of Discrete Diffusion Models","created":"2025-03-11","cited_by_count":13,"area":"diffusion"},{"id":"2504.15176","title":"DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution","created":"2025-04-21","cited_by_count":13,"area":"diffusion"},{"id":"2506.02698","title":"Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences","created":"2025-06-03","cited_by_count":13,"area":"diffusion"},{"id":"2512.04332","title":"Data-regularized Reinforcement Learning for Diffusion Models at Scale","created":"2025-12-03","cited_by_count":13,"area":"diffusion"},{"id":"2603.23500","title":"UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation","created":"2026-03-24","cited_by_count":13,"area":"diffusion"},{"id":"2407.09024","title":"Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control","created":"2024-07-12","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":"2503.17299","title":"Preference-Guided Diffusion for Multi-Objective Offline Optimization","created":"2025-03-21","cited_by_count":12,"area":"diffusion"},{"id":"2507.04832","title":"Discrete Diffusion Trajectory Alignment via Stepwise Decomposition","created":"2025-07-07","cited_by_count":12,"area":"diffusion"},{"id":"2506.15684","title":"Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards","created":"2025-06-18","cited_by_count":11,"area":"diffusion"},{"id":"2409.05622","title":"Forward KL Regularized Preference Optimization for Aligning Diffusion Policies","created":"2024-09-09","cited_by_count":10,"area":"diffusion"},{"id":"2502.01690","title":"HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment","created":"2025-02-02","cited_by_count":10,"area":"diffusion"},{"id":"2508.21016","title":"Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance","created":"2025-08-28","cited_by_count":10,"area":"diffusion"},{"id":"2509.00707","title":"Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs","created":"2025-08-31","cited_by_count":10,"area":"diffusion"},{"id":"2510.00565","title":"Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability","created":"2025-10-01","cited_by_count":10,"area":"diffusion"},{"id":"2601.04153","title":"Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning","created":"2026-01-07","cited_by_count":10,"area":"diffusion"},{"id":"2403.13352","title":"AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation","created":"2024-03-20","cited_by_count":9,"area":"diffusion"}],"next_cursor":"100"}