Author:
Cui Guohao,Yang Cihui,Ma Chensi
Funder
The Innovation Fund Designated for Graduate Students of Jiangxi Province
Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference44 articles.
1. Ho J, Jain A, Abbeel P (2020) Denoising diffusion probabilistic models. Adv Neural Inf Process Syst 33:6840–6851
2. Yang Z, Liu B, Xxiong Y, Yi L, Wu G, Tang X, Liu Z, Zhou J, Zhang X (2023) Docdiff: Document enhancement via residual diffusion models. In: Proceedings of the 31st ACM international conference on multimedia, pp 2795–2806
3. Baode J, Shaofen X, Liufeng T, Zhong X (2022) A method for removing complex visible watermarks of electronic map based on conditional generative adversarial nets. In: 2022 29th International conference on geoinformatics, pp 1–8. IEEE
4. Zhao X, Niu L, Zhang L (2022) Visible watermark removal with dynamic kernel and semantic-aware propagation
5. Lee W, Son S, Lee KM (2022) Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 17725–17734