{"total":62,"rows":[{"id":"2512.05081","title":"Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression","created":"2025-12-04","cited_by_count":85,"area":"diffusion"},{"id":"2512.15702","title":"End-to-End Training for Autoregressive Video Diffusion via Self-Resampling","created":"2025-12-17","cited_by_count":52,"area":"diffusion"},{"id":"2511.07399","title":"StreamDiffusionV2: A Streaming System for Dynamic and Interactive Video Generation","created":"2025-11-10","cited_by_count":30,"area":"diffusion"},{"id":"2601.09881","title":"Transition Matching Distillation for Fast Video Generation","created":"2026-01-14","cited_by_count":30,"area":"diffusion"},{"id":"2605.18739","title":"LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation","created":"2026-05-18","cited_by_count":30,"area":"diffusion"},{"id":"2601.20499","title":"Efficient Autoregressive Video Diffusion with Dummy Head","created":"2026-01-28","cited_by_count":20,"area":"diffusion"},{"id":"2602.01077","title":"PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers","created":"2026-02-01","cited_by_count":17,"area":"diffusion"},{"id":"2603.25730","title":"PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference","created":"2026-03-26","cited_by_count":17,"area":"diffusion"},{"id":"2510.19022","title":"MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models","created":"2025-10-21","cited_by_count":16,"area":"diffusion"},{"id":"2605.09681","title":"Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models","created":"2026-05-10","cited_by_count":15,"area":"diffusion"},{"id":"2511.06055","title":"Neodragon: Mobile Video Generation using Diffusion Transformer","created":"2025-11-08","cited_by_count":12,"area":"diffusion"},{"id":"2602.04789","title":"Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention","created":"2026-02-04","cited_by_count":12,"area":"diffusion"},{"id":"2602.24289","title":"Mode Seeking meets Mean Seeking for Fast Long Video Generation","created":"2026-02-27","cited_by_count":12,"area":"diffusion"},{"id":"2510.08318","title":"LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation","created":"2025-10-09","cited_by_count":11,"area":"diffusion"},{"id":"2602.14027","title":"Train Short, Inference Long: Training-free Horizon Extension for Autoregressive Video Generation","created":"2026-02-15","cited_by_count":11,"area":"diffusion"},{"id":"2604.21221","title":"Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation","created":"2026-04-23","cited_by_count":11,"area":"diffusion"},{"id":"2605.30409","title":"SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer","created":"2026-05-28","cited_by_count":11,"area":"diffusion"},{"id":"2603.08982","title":"SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing","created":"2026-03-09","cited_by_count":10,"area":"diffusion"},{"id":"2604.10103","title":"Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation","created":"2026-04-11","cited_by_count":8,"area":"diffusion"},{"id":"2606.23743","title":"Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation","created":"2026-06-21","cited_by_count":8,"area":"diffusion"},{"id":"2601.02046","title":"Agentic Retoucher for Text-To-Image Generation","created":"2026-01-05","cited_by_count":7,"area":"diffusion"},{"id":"2601.04342","title":"ReHyAt: Recurrent Hybrid Attention for Video Diffusion Transformers","created":"2026-01-07","cited_by_count":7,"area":"diffusion"},{"id":"2601.12719","title":"S2DiT: Sandwich Diffusion Transformer for Mobile Streaming Video Generation","created":"2026-01-19","cited_by_count":7,"area":"diffusion"},{"id":"2601.16515","title":"SALAD: Achieve High-Sparsity Attention via Efficient Linear Attention Tuning for Video Diffusion Transformer","created":"2026-01-23","cited_by_count":7,"area":"diffusion"},{"id":"2604.15911","title":"Efficient Video Diffusion Models: Advancements and Challenges","created":"2026-04-17","cited_by_count":7,"area":"diffusion"},{"id":"2605.15190","title":"RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO","created":"2026-05-14","cited_by_count":7,"area":"diffusion"},{"id":"2605.30351","title":"VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion","created":"2026-05-28","cited_by_count":6,"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":"2603.04239","title":"DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers","created":"2026-03-04","cited_by_count":5,"area":"diffusion"},{"id":"2608.26794","title":"Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion","created":"2026-08-27","cited_by_count":5,"area":"diffusion"},{"id":"2511.21475","title":"MobileI2V: Fast and High-Resolution Image-to-Video on Mobile Devices","created":"2025-11-26","cited_by_count":4,"area":"diffusion"},{"id":"2603.18600","title":"Improving Joint Audio-Video Generation with Cross-Modal Context Learning","created":"2026-03-19","cited_by_count":4,"area":"diffusion"},{"id":"2605.16579","title":"Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion","created":"2026-05-15","cited_by_count":4,"area":"diffusion"},{"id":"2608.28460","title":"LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation","created":"2026-08-28","cited_by_count":4,"area":"diffusion"},{"id":"2601.22275","title":"VMonarch: Efficient Video Diffusion Transformers with Structured Attention","created":"2026-01-29","cited_by_count":3,"area":"diffusion"},{"id":"2605.17248","title":"Image-to-Video Diffusion: From Foundations to Open Frontiers","created":"2026-05-17","cited_by_count":3,"area":"diffusion"},{"id":"2607.06173","title":"MobileWan: Closing the Quality Gap for Mobile Video Diffusion","created":"2026-07-07","cited_by_count":3,"area":"diffusion"},{"id":"2607.28611","title":"Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers","created":"2026-07-30","cited_by_count":3,"area":"diffusion"},{"id":"2603.15478","title":"ViFeEdit: A Video-Free Tuner of Your Video Diffusion Transformer","created":"2026-03-16","cited_by_count":2,"area":"diffusion"},{"id":"2603.27086","title":"EFlow: Fast Few-Step Video Generator Training from Scratch via Efficient Solution Flow","created":"2026-03-28","cited_by_count":2,"area":"diffusion"},{"id":"2607.21553","title":"SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation","created":"2026-07-23","cited_by_count":2,"area":"diffusion"},{"id":"2609.15810","title":"VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention","created":"2026-09-14","cited_by_count":2,"area":"diffusion"},{"id":"2603.02919","title":"Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers","created":"2026-03-03","cited_by_count":1,"area":"diffusion"},{"id":"2603.09721","title":"FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation","created":"2026-03-10","cited_by_count":1,"area":"diffusion"},{"id":"2605.28691","title":"OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement Learning","created":"2026-05-27","cited_by_count":1,"area":"diffusion"},{"id":"2607.03012","title":"HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion","created":"2026-07-03","cited_by_count":1,"area":"diffusion"},{"id":"2609.06712","title":"RoLA: Rotary-Positioned Low-Rank Linear Attention for Efficient Diffusion Transformers","created":"2026-09-06","cited_by_count":1,"area":"diffusion"},{"id":"2609.15863","title":"LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows","created":"2026-09-14","cited_by_count":1,"area":"diffusion"},{"id":"2609.20744","title":"Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation","created":"2026-09-17","cited_by_count":1,"area":"diffusion"},{"id":"2512.13690","title":"DiffusionBrowser: Interactive Diffusion Previews via Multi-Branch Decoders","created":"2025-12-15","cited_by_count":0,"area":"diffusion"},{"id":"2603.09657","title":"When to Lock Attention: Training-Free KV Control in Video Diffusion","created":"2026-03-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.16649","title":"AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling","created":"2026-05-15","cited_by_count":0,"area":"diffusion"},{"id":"2605.26632","title":"RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models","created":"2026-05-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.23898","title":"ARIA: Adaptive Region-Based Importance Allocation for Conditional Diffusion Distillation","created":"2026-06-22","cited_by_count":0,"area":"diffusion"},{"id":"2607.06389","title":"FADRA: Frequency-Aware Diffusion with Residual Adaptation for Video Face Restoration","created":"2026-07-07","cited_by_count":0,"area":"diffusion"},{"id":"2607.12121","title":"FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving","created":"2026-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2608.16585","title":"SQuad: Sub-Quadratic Attention Distillation for Efficient Video Generation","created":"2026-08-17","cited_by_count":0,"area":"diffusion"},{"id":"2609.31050","title":"Where Compute Matters: Heterogeneous Attention for Efficient Video Diffusion","created":"2026-09-25","cited_by_count":0,"area":"diffusion"},{"id":"2609.35110","title":"Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.06801","title":"MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers","created":"2026-10-05","cited_by_count":0,"area":"diffusion"},{"id":"2610.11479","title":"Conditional Residual Prediction: Improving Autoregressive Video Diffusion without a Bidirectional Teacher","created":"2026-10-08","cited_by_count":0,"area":"diffusion"},{"id":"2610.17914","title":"LinMorph: Learning to Morph Weights for Efficient Video DiT Linearization","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}