Remote sensing image super-resolution (SR) fundamentally relies on effective feature representation learning. However, the existing methods that adopt mainstream architecture designs, such as transformer and state space model (SSM), are often restricted by two factors when dealing with the SR of remote sensing images....
Kang-Hui Zhao, Tao Lu, Jia-Ming Wang et al.· IEEE Transactions on Geoscie...· 0 citations
This work introduces S3VD, a Semantic-Guidance Spatio-Temporal Scanning framework for video deraining, featuring two key innovations: Multi-Scale Semantic Fusion (MSSF) Module and Spatio-Temporal Scanning Fusion (STSF) Module.
Kui Jiang, Yiang Chen, Yan Luo et al.· 0 citations
A novel framework, VFC-Net, which generates a uniformly distributed coarse point cloud to effectively guide dense reconstruction and introduces a lightweight VoxAttn module in both stages to efficiently capture missing geometric structures.
Guo-Qing Zhang, Wen-Bo Zhao, Yuan-Chao Bai et al.· IEEE Transactions on Image P...· 0 citations
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