Cover Image

Rectified SpaAttn: Revisiting Attention Sparsity for Efficient Video Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Xuewen, Li, Zhikai, Zhang, Jing, Chen, Mengjuan, Gu, Qingyi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models
by: Liu, Xuewen, et al.
Published: (2026)

DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation
by: Liu, Xuewen, et al.
Published: (2024)

CacheQuant: Comprehensively Accelerated Diffusion Models
by: Liu, Xuewen, et al.
Published: (2025)

Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare
by: Li, Zhikai, et al.
Published: (2024)

Comp-Attn: Present-and-Align Attention for Compositional Video Generation
by: Zhang, Hongyu, et al.
Published: (2025)

Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval
by: Zhang, Jing, et al.
Published: (2026)

Sparsity Induction for Accurate Post-Training Pruning of Large Language Models
by: Jiang, Minhao, et al.
Published: (2026)

K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
by: Li, Zhikai, et al.
Published: (2024)

EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
by: Liu, Xuewen, et al.
Published: (2024)

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
by: Zhang, Jing, et al.
Published: (2025)

AttnMod: Attention-Based New Art Styles
by: Su, Shih-Chieh
Published: (2024)

DiffAttn: Diffusion-Based Drivers' Visual Attention Prediction with LLM-Enhanced Semantic Reasoning
by: Liu, Weimin, et al.
Published: (2026)

DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
by: Zhang, Hanling, et al.
Published: (2025)

Arena as Offline Reward: Efficient Fine-Grained Preference Optimization for Diffusion Models
by: Li, Zhikai, et al.
Published: (2026)

$Δ$-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation
by: Hu, Jucheng, et al.
Published: (2025)

BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation
by: Gu, Youping, et al.
Published: (2025)

PSA: Pyramid Sparse Attention for Efficient Video Understanding and Generation
by: Li, Xiaolong, et al.
Published: (2025)

SLTNet: Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks
by: Long, Xianlei, et al.
Published: (2024)

Runge-Kutta Approximation and Decoupled Attention for Rectified Flow Inversion and Semantic Editing
by: Chen, Weiming, et al.
Published: (2025)

RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification
by: Yang, Zhen, et al.
Published: (2025)

DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
by: Chen, Junyu, et al.
Published: (2025)

SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
by: Xu, Chao, et al.
Published: (2024)

AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
by: Achtibat, Reduan, et al.
Published: (2024)

VMonarch: Efficient Video Diffusion Transformers with Structured Attention
by: Liang, Cheng, et al.
Published: (2026)

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow
by: Zeng, Ziyue, et al.
Published: (2026)

Motion-Aware Caching for Efficient Autoregressive Video Generation
by: Xu, Jing, et al.
Published: (2026)

From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation
by: Qu, Zishen, et al.
Published: (2026)

Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention
by: Chen, Yiwen, et al.
Published: (2025)

SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
by: Chen, Junsong, et al.
Published: (2025)

Re-Attentional Controllable Video Diffusion Editing
by: Wang, Yuanzhi, et al.
Published: (2024)

Revisiting the Integration of Convolution and Attention for Vision Backbone
by: Zhu, Lei, et al.
Published: (2024)

Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
by: Ahn, Donghoon, et al.
Published: (2024)

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
by: Li, Yonglin, et al.
Published: (2023)

MobileDenseAttn:A Dual-Stream Architecture for Accurate and Interpretable Brain Tumor Detection
by: Banik, Shudipta, et al.
Published: (2025)

SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition
by: Pay, Quan Bi, et al.
Published: (2025)

SpaRE: Enhancing Spatial Reasoning in Vision-Language Models with Synthetic Data
by: Ogezi, Michael, et al.
Published: (2025)

SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing
by: Li, Ming, et al.
Published: (2025)

RAC: Rectified Flow Auto Coder
by: Fang, Sen, et al.
Published: (2026)

Efficient Training for Human Video Generation with Entropy-Guided Prioritized Progressive Learning
by: Li, Changlin, et al.
Published: (2025)

K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge
by: Li, Zhikai, et al.
Published: (2026)