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.
Second- order attention network for single image super-resolution,
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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.