公开(公告)号：US20230015253A1

公开(公告)日：2023-01-19

申请号：US17505384

申请日：2021-10-19

Applicant: Nvidia Corporation

Inventor： Weili Nie ,  Arash Vahdat ,  Anima Anandkumar

IPC: G06N3/08

Abstract: Apparatuses, systems, and techniques are presented to generate one or more images comprising one or more objects based, at least in part, on one or more dynamically configurable attributes of the one or objects. In at least one embodiment, one or more images comprising one or more objects can be generated based, at least in part, on one or more dynamically configurable attributes of the one or objects.

公开(公告)号：US20220383019A1

公开(公告)日：2022-12-01

申请号：US17331451

申请日：2021-05-26

Applicant: NVIDIA Corporation

Inventor： Jonathan Tremblay ,  Fabio Tozeto Ramos ,  Yuke Zhu ,  Anima Anandkumar ,  Guanya Shi

IPC: G06K9/00 ,  G06N3/04 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques generate poses of an object based on image data of the object obtained from a first viewpoint of the object and a second viewpoint of the object. The poses can be evaluated to determine a portion of the image data usable by an estimator to generate a pose of the object.

公开(公告)号：US20220261593A1

公开(公告)日：2022-08-18

申请号：US17177068

申请日：2021-02-16

Applicant: NVIDIA Corporation

Inventor： Zhiding Yu ,  Shiyi Lan ,  Chris Choy ,  Subhashree Radhakrishnan ,  Guilin Liu ,  Yuke Zhu ,  Anima Anandkumar

IPC: G06K9/62 ,  G06T7/11 ,  G06K9/00 ,  G06N3/04 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to train one or more neural networks. In at least one embodiment, one or more neural networks are trained to perform segmentation tasks based at least in part on training data comprising bounding box annotations.

公开(公告)号：US20220012596A1

公开(公告)日：2022-01-13

申请号：US16925085

申请日：2020-07-09

Applicant: NVIDIA Corporation

Inventor： Weili Nie ,  Tero Tapani Karras ,  Animesh Garg ,  Shoubhik Debnath ,  Anjul Patney ,  Anima Anandkumar

IPC: G06N3/08 ,  G06N3/063 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques used to train one or more neural networks to generate images comprising one or more features. In at least one embodiment, one or more neural networks are trained to determine one or more styles for an input image and then generate features associated with said one or more styles in an output image.