arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

图像生成

图像生成、文生图、图像编辑、扩散模型和可控生成。

2026-02-12 至 2026-02-12 共收录 2 信号源:cs.CV, cs.GR, cs.MM

1. 文生图 2 篇

2601.10053 2026-02-12 cs.CV 79%

DiCo: Disentangled Concept Representation for Text-to-image Person Re-identification

DiCo: 用于文本到图像人物重识别的解耦概念表示

Giyeol Kim, Chanho Eom

机构 * organization= Department of Imaging Science, Graduate School of Advanced Imaging Science, Multimedia \& Film, Chung-Ang University , addressline= , city= Seoul , postcode= 06974 , state= , country= South Korea organization= Department of Metaverse Convergence, Graduate School of Advanced Imaging Science, Multimedia \& Film, Chung-Ang University , addressline= , city= Seoul , postcode= 06974 , state= , country= South Korea

专题命中 文生图 :text-to-image(title,abstract);分类 cs.CV

AI总结 DiCo通过解耦概念表示方法,提升文本到图像人物重识别的跨模态对齐和可解释性。

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2602.10546 2026-02-12 cs.CV cs.AI 77%

RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images

RealHD:一个高质量数据集,用于鲁棒检测最新AI生成图像

Hanzhe Yu, Yun Ye, Jintao Rong, Qi Xuan, Chen Ma

机构 * Institute of Cyberspace Security, Zhejiang University of Technology(网络安全研究院,浙江工业大学) Intel Corporation(英特尔公司) College of Information Engineering, Zhejiang University of Technology(信息工程学院,浙江工业大学) Binjiang Institute of Artificial Intelligence, ZJUT(滨江人工智能研究所,浙江工业大学)

专题命中 文生图 :image generation(abstract);text-to-image(abstract);inpainting(abstract);分类 cs.CV

AI总结 RealHD数据集通过高质量图像和先进生成方法,提升AI生成图像检测的鲁棒性和泛化能力,并提出基于噪声熵的轻量级检测方法。

Comments Published in the Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025)

Journal ref Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025), 2025, pp. 11394--11403

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