公开(公告)号：US20240303915A1

公开(公告)日：2024-09-12

申请号：US18610369

申请日：2024-03-20

Applicant: Intel Corporation

Inventor： Selvakumar Panneer ,  Mrutunjayya Mrutunjayya ,  Carl S. Marshall ,  Ravishankar Iyer ,  Zack Waters

IPC: G06T15/80 ,  G06N3/08 ,  G06T15/00 ,  G06T15/10

CPC classification number: G06T15/80 ,  G06N3/08 ,  G06T15/005 ,  G06T15/10

Abstract: An apparatus to facilitate inferred object shading is disclosed. The apparatus comprises one or more processors to receive rasterized pixel data and hierarchical data associated with one or more objects and perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry, latent space and representation of the one or more objects.

公开(公告)号：US12067898B2

公开(公告)日：2024-08-20

申请号：US17256105

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Addicam V. Sanjay ,  Karthik Veeramani ,  Gabriel L Silva ,  Marcos P. Da Silva ,  Jose A. Avalos ,  Stephen T. Palermo ,  Glen J. Anderson ,  Meng Shi ,  Benjamin W. Bair ,  Pete A. Denman ,  Reese L. Bowes ,  Rebecca A. Chierichetti ,  Ankur Agrawal ,  Mrutunjayya Mrutunjayya ,  Gerald A. Rogers ,  Shih-Wei Roger Chien ,  Lenitra M. Durham ,  Giuseppe Raffa ,  Irene Liew ,  Edwin Verplanke

IPC: G06F9/38 ,  G06F9/455 ,  G06T19/00 ,  G09B5/06

CPC classification number: G09B5/067 ,  G06F9/3877 ,  G06F9/45558 ,  G06T19/006 ,  G06F2009/45562 ,  G06F2009/4557 ,  G06F2009/45595

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data, wherein the sensor data is captured by a plurality of sensors within an educational environment. The processor is to: access the sensor data captured by the plurality of sensors: identify a student within the educational environment based on the sensor data: detect a plurality of events associated with the student based on the sensor data, wherein each event is indicative of an attention level of the student within the educational environment: generate a report based on the plurality of events associated with the student; and send the report to a third party associated with the student.

公开(公告)号：US20220092738A1

公开(公告)日：2022-03-24

申请号：US17359142

申请日：2021-06-25

Applicant: Intel Corporation

Inventor： Yan Pei ,  Ke Ding ,  Swarnendu Kar ,  Selvakumar Panneer ,  Mrutunjayya Mrutunjayya

IPC: G06T3/40 ,  G06T7/90 ,  A63F13/355

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for super-resolution rendering. An example apparatus includes a data handler to generate a multi-sample control surface (MCS) frame based on a color frame, a feature extractor to obtain features from the color frame, a depth frame, and the MCS frame, a network controller to generate spatial data and temporal data based on the features, and a reconstructor to generate a high-resolution image based on the features, the spatial data, and the temporal data.

公开(公告)号：US20240312107A1

公开(公告)日：2024-09-19

申请号：US18478229

申请日：2023-09-29

Applicant: Intel Corporation

Inventor： Selvakumar Panneer ,  Mrutunjayya Mrutunjayya ,  SungYe Kim

IPC: G06T15/00

CPC classification number: G06T15/005 ,  G06T2210/52

Abstract: Described herein are techniques to preserve G-buffer and optical flow data in UV coordinate space. The G-buffer and optical flow data can be used to correct disocclusion artifacts in frames generated via a neural network.

公开(公告)号：US11978155B2

公开(公告)日：2024-05-07

申请号：US17032348

申请日：2020-09-25

Applicant: Intel Corporation

Inventor： Selvakumar Panneer ,  Mrutunjayya Mrutunjayya ,  Carl S. Marshall ,  Ravishankar Iyer ,  Zack Waters

IPC: G06T15/80 ,  G06N3/08 ,  G06T15/00 ,  G06T15/10

CPC classification number: G06T15/80 ,  G06N3/08 ,  G06T15/005 ,  G06T15/10

Abstract: An apparatus to facilitate inferred object shading is disclosed. The apparatus comprises one or more processors to receive rasterized pixel data and hierarchical data associated with one or more objects and perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry, latent space and representation of the one or more objects.

公开(公告)号：US20240029455A1

公开(公告)日：2024-01-25

申请号：US18475353

申请日：2023-09-27

Applicant: Intel Corporation

Inventor： Peixi Xiong ,  Nilesh Jain ,  Ravishankar Iyer ,  Mrutunjayya Mrutunjayya

IPC: G06V20/64 ,  G06V20/70 ,  G06T15/20 ,  G06V10/56 ,  G06V10/774

CPC classification number: G06V20/64 ,  G06V20/70 ,  G06T15/20 ,  G06V10/56 ,  G06V10/774

Abstract: Systems, apparatuses and methods may provide for technology that encodes multi-view visual data into latent features via an aggregator encoder, decodes the latent features into one or more novel target views different from views of the multi-view visual data via a rendering decoder, and decodes the latent features into an object label via a label decoder. The operation to decode the latent features via the rendering decoder and to decode the latent features via the label decoder occur at least partially at the same time. The operation to encode, via the aggregator encoder, the multi-view visual data into the latent features further includes operations to: perform, via the aggregator encoder, semantic object recognition operations based on radiance field view synthesis operations, and perform, via the aggregator encoder, radiance field view synthesis operations based on semantic object recognition operations.

公开(公告)号：US20240312113A1

公开(公告)日：2024-09-19

申请号：US18607243

申请日：2024-03-15

Applicant: Intel Corporation

Inventor： Selvakumar Panneer ,  Mrutunjayya Mrutunjayya ,  John H. Feit

IPC: G06T15/04 ,  G06T3/4053 ,  G06T7/20 ,  G06T15/50

CPC classification number: G06T15/04 ,  G06T3/4053 ,  G06T7/20 ,  G06T15/506

Abstract: Described herein are techniques to render frame data in UV space and process the UV space data via a machine learning model. One embodiment provides an apparatus including a parallel processor having first circuitry configured to execute operations associated with a three-dimensional (3D) application programming interface (API) to render scene data for a frame in a UV coordinate space, second circuitry configured to execute instructions to perform a matrix multiply accumulate operation associated with a machine learning model that is trained to process the scene data in the UV coordinate space to generate processed scene data in the UV coordinate space, and third circuitry to rasterize the processed scene data in the UV coordinate space into a screen space representation of the scene data.

公开(公告)号：US20240312028A1

公开(公告)日：2024-09-19

申请号：US18478271

申请日：2023-09-29

Applicant: Intel Corporation

Inventor： Selvakumar Panneer ,  Mrutunjayya Mrutunjayya ,  Lorenzo Tessari

IPC: G06T7/246 ,  G06T3/00 ,  G06T15/80

CPC classification number: G06T7/251 ,  G06T3/18 ,  G06T7/248 ,  G06T15/80

Abstract: Described herein, in one embodiment, is computer-implemented method of estimating dense optical flow using primitive ID data comprising generating a primitive ID buffer (e.g., triangle ID buffer) for a frame during rendering, rendering the frame with a unique color for each primitive ID, providing a rendered primitive ID buffer for the current and previous frame along with a confidence buffer and sparse optical flow between frames to a machine learning model, and generating an estimated dense optical flow via the machine learning model based on the input.

公开(公告)号：US20220101597A1

公开(公告)日：2022-03-31

申请号：US17032348

申请日：2020-09-25

Applicant: Intel Corporation

Inventor： Selvakumar Panneer ,  Mrutunjayya Mrutunjayya ,  Carl S. Marshall ,  Ravishankar Iyer ,  Zack Waters

IPC: G06T15/80 ,  G06T15/00 ,  G06T15/10 ,  G06N3/08

Abstract: An apparatus to facilitate inferred object shading is disclosed. The apparatus comprises one or more processors to receive rasterized pixel data and hierarchical data associated with one or more objects and perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry, latent space and representation of the one or more objects.

公开(公告)号：US20210272467A1

公开(公告)日：2021-09-02

申请号：US17256105

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Addicam V. Sanjay ,  Karthik Veeramani ,  Gabriel L. Silva ,  Marcos P. Da Silva ,  Jose A. Avalos ,  Stephen T. Palermo ,  Glen J. Anderson ,  Meng Shi ,  Benjamin W. Bair ,  Pete A. Denman ,  Reese L. Bowes ,  Rebecca A. Chierichetti ,  Ankur Agrawal ,  Mrutunjayya Mrutunjayya ,  Gerald A. Rogers ,  Shih-Wei Roger Chien ,  Lenitra M. Durham ,  Giuseppe Raffa ,  Irene Liew ,  Edwin Verplanke

IPC: G09B5/06 ,  G06T19/00 ,  G06F9/38 ,  G06F9/455

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data, wherein the sensor data is captured by a plurality of sensors within an educational environment. The processor is to: access the sensor data captured by the plurality of sensors; identify a student within the educational environment based on the sensor data; detect a plurality of events associated with the student based on the sensor data, wherein each event is indicative of an attention level of the student within the educational environment; generate a report based on the plurality of events associated with the student; and send the report to a third party associated with the student.