update attention papers

docs/PAPERS_ZH_CN/source/papers/attention.md

 # 注意力机制
 
-xxx
+### Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
+
+[paper](https://arxiv.org/abs/2502.01776) | [code](https://github.com/svg-project/Sparse-VideoGen)
+
+### Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
+
+[paper](https://arxiv.org/abs/2505.18875)
+
+### Training-free and Adaptive Sparse Attention for Efficient Long Video Generation
+
+[paper](https://arxiv.org/abs/2502.21079)
+
+### DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training
+
+[paper](https://arxiv.org/abs/2502.07590)
+
+### MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
+
+[paper](https://github.com/microsoft/MInference)
+
+### FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
+
+[paper](https://arxiv.org/abs/2506.04648)
+
+### VORTA: Efficient Video Diffusion via Routing Sparse Attention
+
+[paper](https://arxiv.org/abs/2505.18809)
+
+### Training-Free Efficient Video Generation via Dynamic Token Carving
+
+[paper](https://arxiv.org/abs/2505.16864)
+
+### RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy
+
+[paper](https://arxiv.org/abs/2505.21036)
+
+### Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation
+
+[paper](https://arxiv.org/abs/2506.19852)
+
+### VMoBA: Mixture-of-Block Attention for Video Diffusion Models
+
+[paper](https://arxiv.org/abs/2506.23858)
+
+### SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
+
+[paper](https://arxiv.org/abs/2502.18137) | [code](https://github.com/thu-ml/SpargeAttn)
+
+### Fast Video Generation with Sliding Tile Attention
+
+[paper](https://arxiv.org/abs/2502.04507) | [code](https://github.com/hao-ai-lab/FastVideo)
+
+### PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models
+
+[paper](https://arxiv.org/abs/2506.16054)
+
+### Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light
+
+[paper](https://arxiv.org/abs/2504.16922)
+
+### Astraea: A GPU-Oriented Token-wise Acceleration Framework for Video Diffusion Transformers
+
+[paper](https://arxiv.org/abs/2506.05096)
+
+### ∇NABLA: Neighborhood Adaptive Block-Level Attention
+
+[paper](https://github.com/gen-ai-team/Wan2.1-NABLA)