{"total":27,"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":"2507.12952","title":"LoViC: Efficient Long Video Generation with Context Compression","created":"2025-07-17","cited_by_count":19,"area":"diffusion"},{"id":"2509.01085","title":"Bidirectional Sparse Attention for Faster Video Diffusion Training","created":"2025-09-01","cited_by_count":19,"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":"2510.19755","title":"A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation","created":"2025-10-22","cited_by_count":16,"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":"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":"2512.21338","title":"HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming","created":"2025-12-24","cited_by_count":8,"area":"diffusion"},{"id":"2509.23681","title":"QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification","created":"2025-09-28","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":"2512.16615","title":"Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers","created":"2025-12-18","cited_by_count":6,"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":"2511.19835","title":"Rectified SpaAttn: Revisiting Attention Sparsity for Efficient Video Generation","created":"2025-11-25","cited_by_count":5,"area":"diffusion"},{"id":"2603.10744","title":"Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers","created":"2026-03-11","cited_by_count":4,"area":"diffusion"},{"id":"2603.06136","title":"Cross-Resolution Distribution Matching for Diffusion Distillation","created":"2026-03-06","cited_by_count":1,"area":"diffusion"},{"id":"2607.16190","title":"FVAttn: Adaptive Sparse Attention with Runtime Load Balancing for Video Generation","created":"2026-07-17","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":"2604.09227","title":"Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models","created":"2026-04-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.21042","title":"Dynamic Video Generation: Shaping Video Generation Across Time and Space","created":"2026-05-20","cited_by_count":0,"area":"diffusion"},{"id":"2606.08751","title":"Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction","created":"2026-06-07","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":"2609.32415","title":"RefAdapt-DiT: Adaptive Joint Attention for Reference-Conditioned Diffusion Transformers","created":"2026-09-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.32518","title":"UnStep: Training-Free Acceleration of Causal Video Diffusion with Fewer Steps Than Distillation","created":"2026-09-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.37001","title":"Parameterized Stripe Attention for Efficient Video Generation","created":"2026-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2610.14672","title":"Competition Domains Matter: Selective Head Globalization for Training-Free Sparse Attention in Video Diffusion Transformers","created":"2026-10-10","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}