ShanghaiTech University Knowledge Management System
| UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis | |
| 2025-02-10 | |
| 状态 | 已发表 |
| 摘要 | Image demoiréing poses one of the most formidable challenges in image restoration, primarily due to the unpredictable and anisotropic nature of moiré patterns. Limited by the quantity and diversity of training data, current methods tend to overfit to a single moiré domain, resulting in performance degradation for new domains and restricting their robustness in real-world applications. In this paper, we propose a universal image demoiréing solution, UniDemoiré, which has superior generalization capability. Notably, we propose innovative and effective data generation and synthesis methods that can automatically provide vast high-quality moiré images to train a universal demoiréing model. Our extensive experiments demonstrate the cutting-edge performance and broad potential of our approach for generalized image demoiréing. |
| 语种 | 英语 |
| DOI | arXiv:2502.06324 |
| 相关网址 | 查看原文 |
| 出处 | Arxiv |
| 收录类别 | PPRN.PPRN |
| WOS记录号 | PPRN:121303525 |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering |
| 资助项目 | SZ-HK-Macau Technology Research Programme[SGDX20210823103537030] ; HKU-SCF FinTech Academy, HKRGC Theme-based research scheme[T35-710/20-R] ; NSFC[62206173] |
| 文献类型 | 预印本 |
| 条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/507022 |
| 专题 | 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_马月昕 |
| 通讯作者 | Ma, Yuexin |
| 作者单位 | 1.ShanghaiTech Univ, Shanghai, Peoples R China 2.Univ Hong Kong, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Zemin,Sun, Yujing,Peng, Xidong,et al. UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis. 2025. |
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