公开(公告)号：US12192547B2

公开(公告)日：2025-01-07

申请号：US18181729

申请日：2023-03-10

Applicant: NVIDIA Corporation

Inventor： Karsten Julian Kreis ,  Robin Rombach ,  Andreas Blattmann ,  Seung Wook Kim ,  Huan Ling ,  Sanja Fidler ,  Tim Dockhorn

IPC: H04N21/2343 ,  G06T9/00 ,  G06V10/24 ,  G06V10/25 ,  G06V10/82 ,  H04N7/01

Abstract: In various examples, systems and methods are disclosed relating to aligning images into frames of a first video using at least one first temporal attention layer of a neural network model. The first video has a first spatial resolution. A second video having a second spatial resolution is generated by up-sampling the first video using at least one second temporal attention layer of an up-sampler neural network model, wherein the second spatial resolution is higher than the first spatial resolution.

公开(公告)号：US20240171788A1

公开(公告)日：2024-05-23

申请号：US18181729

申请日：2023-03-10

Applicant: NVIDIA Corporation

Inventor： Karsten Julian Kreis ,  Robin Rombach ,  Andreas Blattmann ,  Seung Wook Kim ,  Huan Ling ,  Sanja Fidler ,  Tim Dockhorn

IPC: H04N21/2343 ,  G06T9/00 ,  G06V10/24 ,  G06V10/25 ,  G06V10/82 ,  H04N7/01

CPC classification number: H04N21/234363 ,  G06T9/00 ,  G06V10/24 ,  G06V10/25 ,  G06V10/82 ,  H04N7/0117

Abstract: In various examples, systems and methods are disclosed relating to aligning images into frames of a first video using at least one first temporal attention layer of a neural network model. The first video has a first spatial resolution. A second video having a second spatial resolution is generated by up-sampling the first video using at least one second temporal attention layer of an up-sampler neural network model, wherein the second spatial resolution is higher than the first spatial resolution.

公开(公告)号：US20250142145A1

公开(公告)日：2025-05-01

申请号：US19010882

申请日：2025-01-06

Applicant: NVIDIA Corporation

Inventor： Karsten Julian Kreis ,  Robin Rombach ,  Andreas Blattmann ,  Seung Wook Kim ,  Huan Ling ,  Sanja Fidler ,  Tim Dockhorn

IPC: H04N21/2343 ,  G06T9/00 ,  G06V10/24 ,  G06V10/25 ,  G06V10/82 ,  H04N7/01

Abstract: In various examples, systems and methods are disclosed relating to aligning images into frames of a first video using at least one first temporal attention layer of a neural network model. The first video has a first spatial resolution. A second video having a second spatial resolution is generated by up-sampling the first video using at least one second temporal attention layer of an up-sampler neural network model, wherein the second spatial resolution is higher than the first spatial resolution.