ARDIS enables arbitrary-resolution deep image steganography via frequency decoupling in hiding and latent-guided implicit reconstruction for blind recovery.
Learning continuous image representation with local implicit image function
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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PILIR mitigates spectral bias in PINNs by encoding explicit spatial locality via a learnable grid and synthesizing continuous fields with a generative neural operator, yielding higher accuracy on high-frequency PDE features.
citing papers explorer
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Breaking the Resolution Barrier: Arbitrary-resolution Deep Image Steganography Framework
ARDIS enables arbitrary-resolution deep image steganography via frequency decoupling in hiding and latent-guided implicit reconstruction for blind recovery.
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PILIR: Physics-Informed Local Implicit Representation
PILIR mitigates spectral bias in PINNs by encoding explicit spatial locality via a learnable grid and synthesizing continuous fields with a generative neural operator, yielding higher accuracy on high-frequency PDE features.