PMambaIR: panoramic vision state space model for lightweight image super-resolution
Image Processing|更新时间:2025-04-09
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PMambaIR: panoramic vision state space model for lightweight image super-resolution
“In the field of image super-resolution, researchers have proposed the PMambaIR model, which effectively improves image details and visual effects through residual omnidirectional space groups and mixed state space blocks, providing a new solution for improving image quality.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 4, Pages: 642-654(2025)
作者机构:
1.河北工业大学 数据科学与人工智能学院, 天津 300131
2.天津职业技术师范大学 信息技术工程学院, 天津 300222
作者简介:
基金信息:
National Natural Science Foundation of China(62102129)
YAN Gang, SONG Ziyi, GENG Shuze. PMambaIR: panoramic vision state space model for lightweight image super-resolution[J]. Chinese journal of liquid crystals and displays, 2025, 40(4): 642-654.
DOI:
YAN Gang, SONG Ziyi, GENG Shuze. PMambaIR: panoramic vision state space model for lightweight image super-resolution[J]. Chinese journal of liquid crystals and displays, 2025, 40(4): 642-654. DOI: 10.37188/CJLCD.2024-0246. CSTR: 32172.14.CJLCD.2024-0246.
PMambaIR: panoramic vision state space model for lightweight image super-resolution