Patent ID: 11928773
Assignee: AUTODESK, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for training a neural network to generate representations of three-dimensional (3D) shapes, the method comprising:
for each view included in a plurality of views associated with a first 3D geometry, performing one or more convolutions to generate a view activation;
generating a tiled activation based on the view activations;
performing one or more convolutions on the tiled activation to generate a shape embedding having a fixed size, wherein a plurality of other shape embeddings generated based on a plurality of other 3D geometries also have the fixed size;
performing one or more transposed convolutions on the shape embedding to generate a decoded tiled activation;
splitting the decoded tiled activation into a plurality of decoded view activations; and
for each decoded view activation, performing one or more transposed convolutions to generate at least one reconstructed view associated with the first 3D geometry.