{"total":35,"rows":[{"id":"2505.18875","title":"Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation","created":"2025-05-24","cited_by_count":106,"area":"diffusion"},{"id":"2505.13389","title":"VSA: Faster Video Diffusion with Trainable Sparse Attention","created":"2025-05-19","cited_by_count":104,"area":"diffusion"},{"id":"2506.19852","title":"Radial Attention: $O(n\\log n)$ Sparse Attention with Energy Decay for Long Video Generation","created":"2025-06-24","cited_by_count":69,"area":"diffusion"},{"id":"2505.14708","title":"DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance","created":"2025-05-17","cited_by_count":22,"area":"diffusion"},{"id":"2602.12675","title":"SLA2: Sparse-Linear Attention with Learnable Routing and QAT","created":"2026-02-13","cited_by_count":22,"area":"diffusion"},{"id":"2602.13515","title":"SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning","created":"2026-02-13","cited_by_count":18,"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":"2508.10774","title":"BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation","created":"2025-08-14","cited_by_count":13,"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":"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":"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":"2505.22918","title":"Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape","created":"2025-05-28","cited_by_count":10,"area":"diffusion"},{"id":"2607.24027","title":"Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification","created":"2026-07-27","cited_by_count":9,"area":"diffusion"},{"id":"2506.03275","title":"Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas","created":"2025-06-03","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":"2604.15911","title":"Efficient Video Diffusion Models: Advancements and Challenges","created":"2026-04-17","cited_by_count":7,"area":"diffusion"},{"id":"2605.23445","title":"DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation","created":"2026-05-22","cited_by_count":6,"area":"diffusion"},{"id":"2509.16518","title":"FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models","created":"2025-09-20","cited_by_count":4,"area":"diffusion"},{"id":"2510.16325","title":"UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention","created":"2025-10-18","cited_by_count":3,"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":"2606.10537","title":"Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models","created":"2026-06-09","cited_by_count":3,"area":"diffusion"},{"id":"2509.25401","title":"FlashOmni: A Unified Sparse Attention Engine for Diffusion Transformers","created":"2025-09-29","cited_by_count":2,"area":"diffusion"},{"id":"2604.12219","title":"Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation","created":"2026-04-14","cited_by_count":2,"area":"diffusion"},{"id":"2509.26538","title":"HilbertA: Hilbert Attention for Image Generation with Diffusion Models","created":"2025-09-30","cited_by_count":1,"area":"diffusion"},{"id":"2603.05503","title":"Accelerating Text-to-Video Generation with Calibrated Sparse Attention","created":"2026-03-05","cited_by_count":1,"area":"diffusion"},{"id":"2605.14513","title":"HEART: Exploiting Head Heterogeneity in Sparse Attention for Video Diffusion","created":"2026-05-14","cited_by_count":1,"area":"diffusion"},{"id":"2605.19726","title":"Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention","created":"2026-05-19","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":"2608.12032","title":"LoSA: Near-Lossless Sparse Attention for Training-Free Video Diffusion Acceleration","created":"2026-08-12","cited_by_count":1,"area":"diffusion"},{"id":"2606.16317","title":"Training-free sparse attention based on cumulative energy filtering","created":"2026-06-15","cited_by_count":0,"area":"diffusion"},{"id":"2608.03335","title":"SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference","created":"2026-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2608.12780","title":"SCOPE: Subspace Clustering with Online Per-Head Top-K Estimation for Sparse Video Attention","created":"2026-08-13","cited_by_count":0,"area":"diffusion"},{"id":"2609.32628","title":"DraftAttention2: Fast Video Diffusion with Low-Resolution-Guided Mixed-Precision Attention","created":"2026-09-26","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"}],"next_cursor":null}