arXiv 2610.28402 · cs.CV · 2026-10-20
StreamEval: Evaluating Interactive Streaming Video Generation Models
StreamEval Team
机构待核实
在最新榜 #22 2026-W43 第 3 名(进行中) 本站收录于 2026-10-23
一句话要点
StreamEval 是交互式流式视频生成的统一基准:5 类任务、300 个 15–300 秒脚本用例、10 项 0–100 指标,评测 37 个模型后发现画质高、身份保持好并不等于能可靠响应中途到来的指令。
StreamEval is a unified benchmark for interactive streaming video generation: 5 tasks, 300 scripted 15–300 s cases and 10 metrics; across 37 models, high visual quality and identity retention do not guarantee reliable responses to mid-stream requests.
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 ▲191
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 2026-10-23。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。