{"total":63,"rows":[{"id":"2311.18828","title":"One-step Diffusion with Distribution Matching Distillation","created":"2023-11-30","cited_by_count":1019,"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":"2311.06214","title":"Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model","created":"2023-11-10","cited_by_count":378,"area":"diffusion"},{"id":"2305.10431","title":"FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention","created":"2023-05-17","cited_by_count":313,"area":"diffusion"},{"id":"2310.03739","title":"Aligning Text-to-Image Diffusion Models with Reward Backpropagation","created":"2023-10-05","cited_by_count":288,"area":"diffusion"},{"id":"2409.08861","title":"Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control","created":"2024-09-13","cited_by_count":233,"area":"diffusion"},{"id":"2305.10855","title":"TextDiffuser: Diffusion Models as Text Painters","created":"2023-05-18","cited_by_count":229,"area":"diffusion"},{"id":"2404.07987","title":"ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback","created":"2024-04-11","cited_by_count":154,"area":"diffusion"},{"id":"2501.08316","title":"Diffusion Adversarial Post-Training for One-Step Video Generation","created":"2025-01-14","cited_by_count":151,"area":"diffusion"},{"id":"2402.15194","title":"Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control","created":"2024-02-23","cited_by_count":143,"area":"diffusion"},{"id":"2312.11994","title":"Optimizing Diffusion Noise Can Serve As Universal Motion Priors","created":"2023-12-19","cited_by_count":98,"area":"diffusion"},{"id":"2412.17808","title":"Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders","created":"2024-12-23","cited_by_count":98,"area":"diffusion"},{"id":"2311.07604","title":"Finetuning Text-to-Image Diffusion Models for Fairness","created":"2023-11-11","cited_by_count":92,"area":"diffusion"},{"id":"2404.10301","title":"Long-form music generation with latent diffusion","created":"2024-04-16","cited_by_count":89,"area":"diffusion"},{"id":"2401.12179","title":"DITTO: Diffusion Inference-Time T-Optimization for Music Generation","created":"2024-01-22","cited_by_count":73,"area":"diffusion"},{"id":"2405.20279","title":"CV-VAE: A Compatible Video VAE for Latent Generative Video Models","created":"2024-05-30","cited_by_count":70,"area":"diffusion"},{"id":"2502.04896","title":"Goku: Flow Based Video Generative Foundation Models","created":"2025-02-07","cited_by_count":67,"area":"diffusion"},{"id":"2401.08639","title":"One-Step Diffusion Distillation via Deep Equilibrium Models","created":"2023-12-12","cited_by_count":61,"area":"diffusion"},{"id":"2501.08453","title":"Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models","created":"2025-01-14","cited_by_count":60,"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":"2503.01183","title":"DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion","created":"2025-03-03","cited_by_count":46,"area":"diffusion"},{"id":"2410.16942","title":"DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization","created":"2024-10-22","cited_by_count":43,"area":"diffusion"},{"id":"2507.18569","title":"Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis","created":"2025-07-24","cited_by_count":41,"area":"diffusion"},{"id":"2409.07447","title":"StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos","created":"2024-09-11","cited_by_count":37,"area":"diffusion"},{"id":"2311.16124","title":"DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification","created":"2023-10-27","cited_by_count":36,"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":"2411.14384","title":"Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction","created":"2024-11-21","cited_by_count":32,"area":"diffusion"},{"id":"2403.18978","title":"TextCraftor: Your Text Encoder Can be Image Quality Controller","created":"2024-03-27","cited_by_count":27,"area":"diffusion"},{"id":"2405.20289","title":"DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation","created":"2024-05-30","cited_by_count":26,"area":"diffusion"},{"id":"2408.00315","title":"ADBM: Adversarial diffusion bridge model for reliable adversarial purification","created":"2024-08-01","cited_by_count":24,"area":"diffusion"},{"id":"2403.03881","title":"Unlocking Dataset Distillation with Diffusion Models","created":"2024-03-06","cited_by_count":23,"area":"diffusion"},{"id":"2310.04687","title":"Targeted Attack Improves Protection against Unauthorized Diffusion Customization","created":"2023-10-07","cited_by_count":18,"area":"diffusion"},{"id":"2406.12120","title":"Adding Conditional Control to Diffusion Models with Reinforcement Learning","created":"2024-06-17","cited_by_count":16,"area":"diffusion"},{"id":"2502.07590","title":"DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training","created":"2025-02-11","cited_by_count":15,"area":"diffusion"},{"id":"2504.01204","title":"Articulated Kinematics Distillation from Video Diffusion Models","created":"2025-04-01","cited_by_count":13,"area":"diffusion"},{"id":"2509.25631","title":"Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting","created":"2025-09-30","cited_by_count":13,"area":"diffusion"},{"id":"2506.07177","title":"Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models","created":"2025-06-08","cited_by_count":11,"area":"diffusion"},{"id":"2412.02852","title":"Learnable Sparsity for Vision Generative Models","created":"2024-12-03","cited_by_count":9,"area":"diffusion"},{"id":"2404.14309","title":"Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective","created":"2024-04-22","cited_by_count":8,"area":"diffusion"},{"id":"2310.09912","title":"Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models","created":"2023-10-15","cited_by_count":6,"area":"diffusion"},{"id":"2411.16598","title":"DiffBreak: Is Diffusion-Based Purification Robust?","created":"2024-11-25","cited_by_count":6,"area":"diffusion"},{"id":"2502.00639","title":"Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer","created":"2025-02-02","cited_by_count":5,"area":"diffusion"},{"id":"2602.02092","title":"FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space","created":"2026-02-02","cited_by_count":5,"area":"diffusion"},{"id":"2604.11521","title":"Continuous Adversarial Flow Models","created":"2026-04-13","cited_by_count":5,"area":"diffusion"},{"id":"2512.11229","title":"REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation","created":"2025-12-12","cited_by_count":4,"area":"diffusion"},{"id":"2312.16486","title":"PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion","created":"2023-12-27","cited_by_count":3,"area":"diffusion"},{"id":"2409.00492","title":"Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization","created":"2024-08-31","cited_by_count":3,"area":"diffusion"},{"id":"2506.01511","title":"Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment","created":"2025-06-02","cited_by_count":3,"area":"diffusion"},{"id":"2506.20449","title":"Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation","created":"2025-06-25","cited_by_count":3,"area":"diffusion"},{"id":"2602.00413","title":"Alignment of Diffusion Model and Flow Matching for Text-to-Image Generation","created":"2026-01-31","cited_by_count":3,"area":"diffusion"},{"id":"2508.03457","title":"READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation","created":"2025-08-05","cited_by_count":2,"area":"diffusion"},{"id":"2603.13928","title":"Discriminative Flow Matching Via Local Generative Predictors","created":"2026-03-14","cited_by_count":2,"area":"diffusion"},{"id":"2505.19196","title":"CoCA: Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning","created":"2025-05-25","cited_by_count":1,"area":"diffusion"},{"id":"2607.22696","title":"MegaSlide-DiT: Memory-Centric Adaptation and Deformable Local Attention for Efficient Video Diffusion","created":"2026-07-17","cited_by_count":1,"area":"diffusion"},{"id":"2608.30194","title":"NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation","created":"2026-08-31","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":"2511.17005","title":"FLUID: Training-Free Face De-identification via Latent Identity Substitution","created":"2025-11-21","cited_by_count":0,"area":"diffusion"},{"id":"2605.06169","title":"Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion Transformers","created":"2026-05-07","cited_by_count":0,"area":"diffusion"},{"id":"2606.21036","title":"Diffusion-Driven State Space Models","created":"2026-06-19","cited_by_count":0,"area":"diffusion"},{"id":"2607.06609","title":"D2PO: Optimizing Diffusion Samplers via Dynamic Preference","created":"2026-07-07","cited_by_count":0,"area":"diffusion"},{"id":"2607.14398","title":"Integration Matters: Rollout-Based Training for Constrained Diffusion Models","created":"2026-07-15","cited_by_count":0,"area":"diffusion"},{"id":"2609.19242","title":"Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training","created":"2026-09-16","cited_by_count":0,"area":"diffusion"},{"id":"2609.30761","title":"Timo: $\\textbf{T}$aming Mult$\\textbf{i}$modal Diffusion Transformer for Human $\\textbf{Mo}$tion Generation","created":"2026-09-25","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}