A curated list of resources including papers, datasets, and relevant links pertaining to visible watermark removal.

Contributions are welcome. If you wish to contribute, feel free to send a pull request. If you have suggestions for new sections to be included, please raise an issue and discuss before sending a pull request.

• Papers
• Datasets
• Other Resources

• Danni Cheng, Xiang Li, Wei-Hong Li, Chan Lu, Fake Li, Hua Zhao, WeiShi Zheng: "Large-scale visible watermark detection and removal with deep convolutional networks." Chinese Conference on Pattern Recognition and Computer Vision (2018) [pdf]

• Zhiyi Cao, Shaozhang Niu, Jiwei Zhang, Xinyi Wang: "Generative adversarial networks model for visible watermark removal." IET Image Processing 13.10 (2019): 1783-1789. [pdf]

• Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or: "Blind visual motif removal from a single image." CVPR (2019). [pdf] [code]

• Xiang Li, Chan Lu, Danni Cheng, Wei-Hong Li, Mei Cao, Bo Liu, Jiechao Ma, Wei-Shi Zheng: "Towards photo-realistic visible watermark removal with conditional generative adversarial networks." International Conference on Image and Graphics (2019). [pdf]

• Jiang, Pei, Shiwen He, Hufei Yu, and Yaoxue Zhang. "Two‐stage visible watermark removal architecture based on deep learning." IET Image Processing 14, no. 15 (2020). [pdf]

• Liu, Yang, Zhen Zhu, Xiang Bai: "WDNet: Watermark-Decomposition Network for Visible Watermark Removal." WACV (2021). [pdf] [code]

• Cun, Xiaodong, Chi-Man Pun: "Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal." AAAI (2021). [pdf] [code]

• Jing Liang, Li Niu, Fengjun Guo, Teng Long, Liqing Zhang: "Visible Watermark Removal via Self-calibrated Localization and Background Refinement." ACM MM (2021). [pdf] [code]

• LVW (Large-scale Visible Watermark Dataset) [Baidu cloud | Access code: eg4h]

• CLWD (Colored Large-scale Watermark Dataset) [download]

• LOGO-L, LOGO-H, LOGO-Gray, LOGO30K [download]