公开(公告)号：US20240185523A1

公开(公告)日：2024-06-06

申请号：US18339936

申请日：2023-06-22

Applicant: NVIDIA CORPORATION

Inventor： Dongsu ZHANG ,  Amlan KAR ,  Francis WILLIAMS ,  Zan GOJCIC ,  Karsten KREIS ,  Sanja FIDLER

IPC: G06T17/10

CPC classification number: G06T17/10

Abstract: In various examples, a technique for performing three-dimensional (3D) scene completion includes determining an initial representation of a first 3D scene. The technique also includes executing a machine learning model to generate a first update to the initial representation at a previous time step and a second update to the initial representation at a current time step, wherein the second update is generated based at least on a threshold applied to a set of predictions corresponding to the first update. The technique also includes generating a 3D model of the 3D scene based at least on the second update to the initial representation.

公开(公告)号：US20250131700A1

公开(公告)日：2025-04-24

申请号：US18674666

申请日：2024-05-24

Applicant: NVIDIA Corporation

Inventor： Sanja FIDLER ,  Matan ATZMON ,  Jiahui HUANG ,  Or LITANY ,  Francis WILLIAMS

IPC: G06V10/82 ,  G06V10/26 ,  G06V20/58

Abstract: In various examples, a technique for modeling equivariance in point neural networks includes determining a first partition prediction associated with partitioning of a plurality of points included in a scene into a first set of parts. The technique also includes generating, using a neural network, a second partition prediction associated with partitioning of the plurality of points into a second set of parts based at least on one or more aggregations associated with the first set of parts. The technique further includes determining a plurality of piecewise equivariant regions included in the scene based on the second partition prediction and generating an object recognition result associated with the plurality of points based on the plurality of piecewise equivariant regions.