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Ouasfi et al., 2024 - Google Patents

Mixing-denoising generalizable occupancy networks

Ouasfi et al., 2024

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Document ID
8680402251852174954
Author
Ouasfi A
Boukhayma A
Publication year
Publication venue
2024 International Conference on 3D Vision (3DV)

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Snippet

While current state-of-the-art generalizable implicit neural shape models [7],[54] rely on the inductive bias of convolutions, it is still not entirely clear how properties emerging from such biases are compatible with the task of 3D reconstruction from point cloud. We explore an …
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    • G06K9/46—Extraction of features or characteristics of the image
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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T17/30—Polynomial surface description
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    • G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
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