arXiv 2610.05416 · cs.CV · 2026-10-04
Prism: Dynamic Sparse Attention for Native 2K Joint Video-Audio Generation Model Training
Shuyuan Tu, Qi Tian, Yinming Huang, Yue Wu, Xintong Han, Kaihang Pan, Weijie Kong, Jiangfeng Xiong 等 11 人
Tencent Hunyuan
在最新榜 #166 本站收录于 2026-10-21
一句话要点
Prism 动态稀疏注意力聚焦发声区域,用于原生 2K 音视频联合生成模型的训练。
Prism is dynamic sparse attention that focuses on sound-producing regions for training native 2K joint video-audio models.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题:视觉生成
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation ▲197
- Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds ▲182
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。