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Implicit neural 3D representation has achieved impressive results in surface or scene reconstruction and novel view synthesis, which typically uses the coordinate-based multi-layer perceptrons (MLPs) to learn a continuous scene representation.
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Sharon M Perlmutter and Robert M Gray · 1994
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Perceiver: General perception with iterative attention
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Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Pytorch: An imperative style, high-performance deep learning library
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Nerf in the wild: Neural radiance fields for unconstrained photo collections
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H3d-net: Few-shot high-fidelity 3d head reconstruction
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Volume rendering of neural implicit surfaces
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