Systematic benchmark reveals recent complex INR methods for continuous image super-resolution offer only marginal gains, with performance tied to training setups, auxiliary losses improving textures, and scaling laws holding.
Mambacsr: Dual-interleaved scanning for com- pressed image super-resolution with ssms
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A literature survey of State Space Model methods applied to remote sensing tasks, architectures, and challenges since their introduction to the field.
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Implicit Neural Representation-Based Continuous Single Image Super-Resolution: An Empirical Benchmark
Systematic benchmark reveals recent complex INR methods for continuous image super-resolution offer only marginal gains, with performance tied to training setups, auxiliary losses improving textures, and scaling laws holding.
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State Space Models Meet Remote Sensing: A Survey
A literature survey of State Space Model methods applied to remote sensing tasks, architectures, and challenges since their introduction to the field.