{"total":85,"rows":[{"id":"2412.03572","title":"Navigation World Models","created":"2024-12-04","cited_by_count":272,"area":"wm"},{"id":"2510.02283","title":"Self-Forcing++: Towards Minute-Scale High-Quality Video Generation","created":"2025-10-02","cited_by_count":192,"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":"2506.17201","title":"Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition","created":"2025-06-20","cited_by_count":98,"area":null},{"id":"2506.14603","title":"Align Your Flow: Scaling Continuous-Time Flow Map Distillation","created":"2025-06-17","cited_by_count":87,"area":"diffusion"},{"id":"2510.08431","title":"Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency","created":"2025-10-09","cited_by_count":86,"area":"diffusion"},{"id":"2510.22200","title":"LongCat-Video Technical Report","created":"2025-10-25","cited_by_count":85,"area":"wm"},{"id":"2501.10018","title":"DiffuEraser: A Diffusion Model for Video Inpainting","created":"2025-01-17","cited_by_count":72,"area":"diffusion"},{"id":"2512.16776","title":"Kling-Omni Technical Report","created":"2025-12-18","cited_by_count":71,"area":null},{"id":"2602.06028","title":"Context Forcing: Consistent Autoregressive Video Generation with Long Context","created":"2026-02-05","cited_by_count":59,"area":null},{"id":"2505.24873","title":"MiniMax-Remover: Taming Bad Noise Helps Video Object Removal","created":"2025-05-30","cited_by_count":45,"area":"diffusion"},{"id":"2511.22677","title":"Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield","created":"2025-11-27","cited_by_count":45,"area":"diffusion"},{"id":"2510.20771","title":"AlphaFlow: Understanding and Improving MeanFlow Models","created":"2025-10-23","cited_by_count":41,"area":"diffusion"},{"id":"2509.04394","title":"Transition Models: Rethinking the Generative Learning Objective","created":"2025-09-04","cited_by_count":34,"area":"diffusion"},{"id":"2506.00523","title":"SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation","created":"2025-05-31","cited_by_count":32,"area":"diffusion"},{"id":"2503.16302","title":"Unleashing Vecset Diffusion Model for Fast Shape Generation","created":"2025-03-20","cited_by_count":26,"area":"diffusion"},{"id":"2605.13724","title":"AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation","created":"2026-05-13","cited_by_count":26,"area":"diffusion"},{"id":"2510.27684","title":"Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals","created":"2025-10-31","cited_by_count":24,"area":"diffusion"},{"id":"2505.18809","title":"VORTA: Efficient Video Diffusion via Routing Sparse Attention","created":"2025-05-24","cited_by_count":23,"area":"diffusion"},{"id":"2602.03139","title":"Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis","created":"2026-02-03","cited_by_count":20,"area":null},{"id":"2412.02030","title":"NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training","created":"2024-12-02","cited_by_count":17,"area":null},{"id":"2511.20549","title":"Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning","created":"2025-11-25","cited_by_count":17,"area":"diffusion"},{"id":"2412.11706","title":"AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration","created":"2024-12-16","cited_by_count":16,"area":"diffusion"},{"id":"2506.08822","title":"FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2604.03118","title":"Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation","created":"2026-04-03","cited_by_count":13,"area":"inference"},{"id":"2511.22475","title":"Adversarial Flow Models","created":"2025-11-27","cited_by_count":12,"area":null},{"id":"2409.01347","title":"Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance","created":"2024-09-02","cited_by_count":10,"area":"diffusion"},{"id":"2508.06082","title":"SwiftVideo: A Unified Framework for Few-Step Video Generation through Trajectory-Distribution Alignment","created":"2025-08-08","cited_by_count":10,"area":null},{"id":"2602.05827","title":"Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation","created":"2026-02-05","cited_by_count":10,"area":null},{"id":"2603.26741","title":"Language-Conditioned World Modeling for Visual Navigation","created":"2026-03-23","cited_by_count":10,"area":"wm"},{"id":"2410.18958","title":"Stable Consistency Tuning: Understanding and Improving Consistency Models","created":"2024-10-24","cited_by_count":9,"area":"diffusion"},{"id":"2606.18478","title":"Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation","created":"2026-06-16","cited_by_count":9,"area":"diffusion"},{"id":"2602.22654","title":"Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache","created":"2026-02-26","cited_by_count":8,"area":"diffusion"},{"id":"2605.26108","title":"Reinforcing Few-step Generators via Reward-Tilted Distribution Matching","created":"2026-05-25","cited_by_count":8,"area":"diffusion"},{"id":"2512.23709","title":"Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion","created":"2025-12-29","cited_by_count":7,"area":"diffusion"},{"id":"2603.07799","title":"MWM: Mobile World Models for Action-Conditioned Consistent Prediction","created":"2026-03-08","cited_by_count":7,"area":"wm"},{"id":"2603.21864","title":"Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation","created":"2026-03-23","cited_by_count":7,"area":"diffusion"},{"id":"2605.12377","title":"Fast Image Super-Resolution via Consistency Rectified Flow","created":"2026-05-12","cited_by_count":7,"area":"diffusion"},{"id":"2503.04824","title":"ProReflow: Progressive Reflow with Decomposed Velocity","created":"2025-03-05","cited_by_count":5,"area":"diffusion"},{"id":"2512.06802","title":"VDOT: Efficient Unified Video Creation via Optimal Transport Distillation","created":"2025-12-07","cited_by_count":5,"area":null},{"id":"2604.11521","title":"Continuous Adversarial Flow Models","created":"2026-04-13","cited_by_count":5,"area":"diffusion"},{"id":"2511.19065","title":"Understanding, Accelerating, and Improving MeanFlow Training","created":"2025-11-24","cited_by_count":4,"area":null},{"id":"2603.22271","title":"DUO-VSR: Dual-Stream Distillation for One-Step Video Super-Resolution","created":"2026-03-23","cited_by_count":4,"area":"diffusion"},{"id":"2605.06376","title":"Continuous-Time Distribution Matching for Few-Step Diffusion Distillation","created":"2026-05-07","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":"2607.03118","title":"Vidu S1: A Real-Time Interactive Video Generation Model","created":"2026-07-03","cited_by_count":4,"area":null},{"id":"2508.16939","title":"Sig-DEG for Distillation: Making Diffusion Models Faster and Lighter","created":"2025-08-23","cited_by_count":3,"area":"diffusion"},{"id":"2509.04406","title":"Few-step Flow for 3D Generation via Marginal-Data Transport Distillation","created":"2025-09-04","cited_by_count":3,"area":"diffusion"},{"id":"2510.17858","title":"Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch","created":"2025-10-15","cited_by_count":3,"area":"diffusion"},{"id":"2512.13592","title":"Image Diffusion Preview with Consistency Solver","created":"2025-12-15","cited_by_count":3,"area":"diffusion"},{"id":"2512.22374","title":"Self-Evaluation Unlocks Any-Step Text-to-Image Generation","created":"2025-12-26","cited_by_count":3,"area":"diffusion"},{"id":"2602.12624","title":"Formalizing the Sampling Design Space of Diffusion-Based Generative Models via Adaptive Solvers and Wasserstein-Bounded Timesteps","created":"2026-02-13","cited_by_count":3,"area":"diffusion"},{"id":"2605.25378","title":"CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation","created":"2026-05-25","cited_by_count":3,"area":"diffusion"},{"id":"2606.15553","title":"Distilling Drifting Transformers with Representation Autoencoders","created":"2026-06-14","cited_by_count":3,"area":null},{"id":"2412.01787","title":"Pretrained Reversible Generation as Unsupervised Visual Representation Learning","created":"2024-11-29","cited_by_count":2,"area":"diffusion"},{"id":"2505.20123","title":"Understanding Generalization in Diffusion Distillation via Probability Flow Distance","created":"2025-05-26","cited_by_count":2,"area":"diffusion"},{"id":"2511.18834","title":"FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories","created":"2025-11-24","cited_by_count":2,"area":"diffusion"},{"id":"2602.18314","title":"Diff2DGS: Reliable Reconstruction of Occluded Surgical Scenes via 2D Gaussian Splatting","created":"2026-02-20","cited_by_count":2,"area":null},{"id":"2604.17397","title":"Speculative Decoding for Autoregressive Video Generation","created":"2026-04-19","cited_by_count":2,"area":"diffusion"},{"id":"2606.12575","title":"High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation","created":"2026-06-10","cited_by_count":2,"area":"diffusion"},{"id":"2607.24377","title":"MXAttention: Data-Free Optimal Scaling and Pre-Normalization Quantization for MXFP4 Attention","created":"2026-07-27","cited_by_count":2,"area":"diffusion"},{"id":"2603.06136","title":"Cross-Resolution Distribution Matching for Diffusion Distillation","created":"2026-03-06","cited_by_count":1,"area":"diffusion"},{"id":"2603.28460","title":"$R_\\text{dm}$: Re-conceptualizing Distribution Matching as a Reward for Diffusion Distillation","created":"2026-03-30","cited_by_count":1,"area":"diffusion"},{"id":"2604.28126","title":"AdvDMD: Adversarial Reward Meets DMD For High-Quality Few-Step Generation","created":"2026-04-29","cited_by_count":1,"area":"diffusion"},{"id":"2606.12555","title":"AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation","created":"2026-06-10","cited_by_count":1,"area":"diffusion"},{"id":"2608.12107","title":"Avatar-Forever: Decoupled Parallel Training for High-Quality Real-Time Infinite Avatars","created":"2026-08-12","cited_by_count":1,"area":null},{"id":"2609.14725","title":"CrossDistill: Balancing Quality and Diversity via Trajectory-Level Hybrid Few-Step Distillation","created":"2026-09-13","cited_by_count":1,"area":"diffusion"},{"id":"2609.34470","title":"Precise Editing and Flexible Referencing for Interactable Worlds","created":"2026-09-28","cited_by_count":1,"area":"wm"},{"id":"2411.08954","title":"Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples","created":"2024-11-13","cited_by_count":0,"area":"diffusion"},{"id":"2503.20744","title":"High Quality Diffusion Distillation on a Single GPU with Relative and Absolute Position Matching","created":"2025-03-26","cited_by_count":0,"area":"diffusion"},{"id":"2511.18378","title":"Synthetic Curriculum Reinforces Compositional Text-to-Image Generation","created":"2025-11-23","cited_by_count":0,"area":null},{"id":"2602.10764","title":"Dual-End Consistency Model","created":"2026-02-11","cited_by_count":0,"area":"diffusion"},{"id":"2603.08258","title":"WaDi: Weight Direction-aware Distillation for One-step Image Synthesis","created":"2026-03-09","cited_by_count":0,"area":"diffusion"},{"id":"2604.23552","title":"On the Memorization of Consistency Distillation for Diffusion Models","created":"2026-04-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.10653","title":"STEDiff: Strengthening Text Embedding for Text-to-Image Alignment in Diffusion Model","created":"2026-06-09","cited_by_count":0,"area":"diffusion"},{"id":"2606.29287","title":"Beyond Trajectory Matching: Reflow with Marginal Distribution Alignment","created":"2026-06-28","cited_by_count":0,"area":null},{"id":"2607.03960","title":"Reward Lightning: Fast Video Generation via Homologous Preference Distillation","created":"2026-07-04","cited_by_count":0,"area":"diffusion"},{"id":"2607.09133","title":"IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2608.09226","title":"RL-Native Distillation: Exploiting Scored Trajectories for Few-Step Image Generation","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.09355","title":"Alpha as an Efficiency Signal: Visibility-Routed RGBA Image-to-Video Generation","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2609.23153","title":"SparkDiffusion: Mitigating the High-Sparsity Trap --- A Unified Framework for up to $265\\times$ Single-GPU Acceleration of Visual Generation","created":"2026-09-19","cited_by_count":0,"area":"diffusion"},{"id":"2609.29116","title":"Spectral Amplitude Purification in Distribution Matching for Diffusion Distillation","created":"2026-09-24","cited_by_count":0,"area":"diffusion"},{"id":"2609.32882","title":"Improving Video Sparse Attention with Fine-grained Router and Sparse Rebasing","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.39132","title":"Uncertainty-Aware Consistency Distillation for Few-Step Video Generation","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.05816","title":"Level-of-Token Diffusion","created":"2026-10-05","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}