SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM

Chen, Shuang; Zhang, Haozheng; Atapour-Abarghouei, Amir; Shum, Hubert P. H.

SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM

Chen, Shuang; Zhang, Haozheng; Atapour-Abarghouei, Amir; Shum, Hubert P. H.

Authors

Chris Chen shuang.chen@durham.ac.uk
Post Doctoral Research Associate

Haozheng Zhang haozheng.zhang@durham.ac.uk
PGR Student Doctor of Philosophy

Dr Amir Atapour-Abarghouei amir.atapour-abarghouei@durham.ac.uk
Assistant Professor

Professor Hubert Shum hubert.shum@durham.ac.uk
Professor

Citation

Chen, S., Zhang, H., Atapour-Abarghouei, A., & Shum, H. P. H. (2025, February). SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM. Presented at 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona

Presentation Conference Type	Conference Paper (published)
Conference Name	2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Start Date	Feb 28, 2025
End Date	Mar 4, 2025
Acceptance Date	Oct 28, 2024
Deposit Date	Nov 11, 2024
Publisher	Institute of Electrical and Electronics Engineers
Peer Reviewed	Peer Reviewed
Book Title	Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision
Public URL	https://durham-repository.worktribe.com/output/3091371
Publisher URL	https://ieeexplore.ieee.org/xpl/conhome/1000040/all-proceedings