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Implicit neural representations with multi-layer perceptrons (MLPs) have recently gained prominence for a wide variety of tasks such as novel view synthesis and 3D object representation and rendering.
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Modulated periodic activations for generalizable local functional representations
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Implicit neural representations with periodic activation functions
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Fourier features let networks learn high frequency functions in low dimensional domains
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Learning continuous image representation with local implicit image function
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