公开(公告)号：US20240005593A1

公开(公告)日：2024-01-04

申请号：US18212047

申请日：2023-06-20

Applicant: NVIDIA Corporation

Inventor： Chong YU

IPC: G06T17/00 ,  G06T19/20 ,  G06T7/60 ,  G06T7/40

CPC classification number: G06T17/00 ,  G06T19/20 ,  G06T7/60 ,  G06T2207/20081 ,  G06T2210/36 ,  G06T2210/52 ,  G06T2207/20084 ,  G06T7/40

Abstract: Apparatuses, systems, and techniques are presented to generate digital reconstructions of physical objects. In at least one embodiment, one or more first neural networks are used to generate a three-dimensional (3D) model having a first level of detail, and one or more second neural networks are used to modify the 3D model to have a second level of detail.

公开(公告)号：US20250068960A1

公开(公告)日：2025-02-27

申请号：US18003289

申请日：2022-11-11

Applicant: NVIDIA CORPORATION

Inventor： Chong YU

IPC: G06N20/00 ,  G06V10/764

Abstract: In various examples, a technique for processing sensor data includes generating, using a machine learning model and based on a first sensor data instance, a first set of confidences for a set of output types and a first adversarial confidence that represents a likelihood that the first sensor data instance is adversarial. The technique also includes determining that the first sensor data instance is adversarial based on the first adversarial confidence. The technique further includes transmitting a first indication that the first sensor data instance is adversarial to one or more downstream components such that the one or more downstream components perform one or more operations based at least on the indication.