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arXiv 2610.30866 · cs.CV · 2026-10-22

Verus-Insight: Towards Explainable Artifact Detection in AI-Generated Videos

Zhuoran Zhang, Yang Shi, Qixun Wang, Tengfei Liu, Yuqi Tang, Xuanyu Zhu, Yizhuo Jia, Jingyun Hua and 6 more

Affiliation unverified

In latest · #357 Added on 2026-10-26

One-line takeaway

Verus-Insight frames explainable artifact detection in AI-generated videos as inspection planning, evidence verification and evidence aggregation, so source decisions rest on faithfully identified artifacts.

Verus-Insight 把 AI 生成视频的伪影检测拆成三步:决定检查什么、验证是否真是生成伪影、再汇总证据下判断,目标是让检测结论有可解释的依据。

20HF upvotes
5GitHub stars
0Citations (Semantic Scholar)
36.6Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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