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arXiv 2610.28402 · cs.CV · 2026-10-20

StreamEval: Evaluating Interactive Streaming Video Generation Models

StreamEval Team

Affiliation unverified

In latest · #22 2026-W43 #3 (in progress) Added on 2026-10-23

One-line takeaway

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.

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。

361HF upvotes
90GitHub stars
0Citations (Semantic Scholar)
71.2Buzz score

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About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-23.

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Data updated: Latest AI papers(UTC+8)