Open Access
| Issue |
ITM Web Conf.
Volume 78, 2025
International Conference on Computer Science and Electronic Information Technology (CSEIT 2025)
|
|
|---|---|---|
| Article Number | 04012 | |
| Number of page(s) | 9 | |
| Section | Foundations and Frontiers in Multimodal AI, Large Models, and Generative Technologies | |
| DOI | https://doi.org/10.1051/itmconf/20257804012 | |
| Published online | 08 September 2025 | |
- Nazeri, Kamyar, et al. “Edgeconnect: Generative image inpainting with adversarial edge learning.” arXiv preprint arXiv:1901.00212 (2019). [Google Scholar]
- Poma, Xavier Soria, Edgar Riba, and Angel Sappa. “Dense extreme inception network: Towards a robust cnn model for edge detection.” Proceedings of the IEEE/CVF winter conference on applications of computer vision. 2020. [Google Scholar]
- Liu, Guilin, et al. “Image in-painting for irregular holes using partial convolutions.” U.S. Patent Application No. 16/360,895. [Google Scholar]
- Liu, Ziwei, et al. “Deep learning face attributes in the wild.” Proceedings of the IEEE international conference on computer vision. 2015. [Google Scholar]
- Kingma, Diederik P., and Jimmy Ba. “Adam: A method for stochastic optimization.” arXiv preprint arXiv:1412.6980 (2014). [Google Scholar]
- Zhao, Hang, et al. “Loss functions for image restoration with neural networks.” IEEE Transactions on computational imaging 3.1 (2016): 47–57. [Google Scholar]
- Li, Chen, et al. “Image inpainting using two-stage loss function and global and local markovian discriminators.” Sensors 20.21 (2020): 6193. [Google Scholar]
- Barnes, Connelly, et al. “PatchMatch: A randomized correspondence algorithm for structural image editing.” ACM Trans. Graph. 28.3 (2009): 24. [Google Scholar]
- Pathak, Deepak, et al. “Context encoders: Feature learning by inpainting.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016. [Google Scholar]
- Iizuka, Satoshi, Edgar Simo-Serra, and Hiroshi Ishikawa. “Globally and locally consistent image completion.” ACM Transactions on Graphics (ToG) 36.4 (2017): 1–14. [Google Scholar]
- Liu, Guilin, et al. “Image inpainting for irregular holes using partial convolutions.” Proceedings of the European conference on computer vision (ECCV). 2018. [Google Scholar]
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