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Copyright Leakage Detection in AI Generated Videos

Paper recorded by Signals 4 on 2026-10-20 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.CV · 计算机视觉 · first seen 2026-10-21

Abstract

Video generation models can create realistic-looking video footage from images and text prompts. Some of the recent advances have raised concerns about the reproduction of copyrighted visual content. However, copyright leakage detection in generated videos remains largely unexplored. In this paper, we introduce a new benchmark data set for copyright leakage detection, comprising 50 copyrighted c

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#215 most recent of 756 cs.CV papers we have recorded · ↑ newer: CoGaussian: Open-Vocabulary Gaussian-based Collaborative 3D Scene Unde · ↓ older: VLM-Guided Contact Retargeting and Generative Partner Modeling for Hum
Cite this page: Copyright Leakage Detection in AI Generated Videos: the #215 most recent of 756 cs.CV papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/copyright-leakage-detection-in-ai-generated-videos.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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