公开(公告)号：US11080922B2

公开(公告)日：2021-08-03

申请号：US16652463

申请日：2018-11-07

Applicant: Sony Interactive Entertainment Inc. ,  Sony Interactive Entertainment Europe Limited

Inventor： Andrew James Bigos

IPC: G06T15/08

Abstract: A method of generating a model for 3D printing, includes selecting a target object within a virtual environment; sampling the target object to form a point cloud, the point cloud comprising points corresponding to an outer surface of the target object and also one or more internal features of the target object; rendering the point cloud from a plurality of viewpoints using voxels in place of the points in the point cloud; detecting which voxels and hence which points of the cloud were rendered over the plurality of renders; forming a surface-only point cloud comprising those points of the cloud that were rendered; and generating a model for 3D printing based on the surface-only point cloud.

公开(公告)号：US20190270251A1

公开(公告)日：2019-09-05

申请号：US16319974

申请日：2017-07-12

Applicant: Sony Interactive Entertainment Inc.

Inventor： Norihiro Nagai ,  Masakazu Suzuoki ,  Andrew James Bigos ,  Jean-Paul Roberts

IPC: B29C64/386 ,  A63F13/335 ,  G06F17/50

Abstract: A method of calculating the suitability of an object from a videogame for 3D printing includes: obtaining data representative of the object as found at a point in time within the video game, calculating a plurality of different scores indicative of the fitness of the object as represented by the obtained data for generating a 3D print of the object, where the plurality of different scores are respectively responsive to one or of the arrangement of the object as found at the point in time within the video game; the dependency of one or more elements of the object upon another element; a property of any connective structure used to connect elements of the 3D printed object together; the quality of the obtained data; and the method used to generate print data used for the 3D printed version of the object, calculating a combined score from the plurality of different scores for the object as found at a point in time within the video game, and associating the combined score with the data representative of the object as found at the point in time within the video game.

公开(公告)号：US20190215504A1

公开(公告)日：2019-07-11

申请号：US16224991

申请日：2018-12-19

Applicant: Sony Interactive Entertainment Inc.

Inventor： Andrew James Bigos ,  Jason Gordon Doig

IPC: H04N13/117 ,  H04N13/344 ,  G02B27/01 ,  G06F9/30 ,  G06T7/70

CPC classification number: H04N13/117 ,  G02B27/0172 ,  G06F3/012 ,  G06F3/013 ,  G06F3/04815 ,  G06F9/30003 ,  G06T7/70 ,  G06T15/20 ,  H04N13/344

Abstract: An image generating device comprises a rendering section that renders test images each representing an image when a space including an object to be displayed is viewed from one of a plurality of candidate reference viewing points; a candidate reference viewing point evaluation section that evaluates an importance value for the candidate reference viewing points as a function of at least their comparative coverage of points in the space; and an update section that changes the position of one or more candidate reference viewing points that have a low importance value, obtains a re-evaluation from the candidate reference viewing point evaluation section, and does not revert the position of a candidate reference viewing point if its comparative coverage of points in the space has increased.

公开(公告)号：US20250128150A1

公开(公告)日：2025-04-24

申请号：US18910200

申请日：2024-10-09

Applicant: Sony Interactive Entertainment Inc.

Inventor： Andrew James Bigos ,  Laura Elek

IPC: A63F13/22 ,  A63F13/35 ,  A63F13/79

Abstract: A processing device comprising: an identification unit configured to identify a first action in a given game corresponding to a first input signal; the identification unit is configured to identify a second action in a reference game corresponding to a second input signal, the second action being identified as a corresponding action that corresponds to the first action; and a control unit is configured to interpret the second input signal as the first input signal for the given game in response to the second action being identified as the corresponding action.

公开(公告)号：US12254557B2

公开(公告)日：2025-03-18

申请号：US17698264

申请日：2022-03-18

Applicant: Sony Interactive Entertainment Inc.

Inventor： Andrew James Bigos

IPC: G06T15/06 ,  G06T1/20 ,  G06T15/20 ,  G06T15/50 ,  G06V10/70

Abstract: An image rendering method for a virtual scene includes, for a plurality of IDs, generating a respective mask identifying elements of the scene that are associated with a respective ID; for the resulting plurality of masks, dividing a respective mask into a plurality of tiles; and discarding tiles that do not identify any image elements; for the resulting plurality of remaining tiles, selecting a respective trained machine learning model from among a plurality of machine learning models, the respective machine learning model having been trained to generate data contributing to a render of at least a part of an image, based upon elements of the scene associated with the same respective ID as the elements identified in the mask from which the respective tile was divided; and using the respective trained machine learning model to generate data contributing to a render of at least a part of the image based upon input data at least for the identified elements in the respective tile.

公开(公告)号：US20250047943A1

公开(公告)日：2025-02-06

申请号：US18779327

申请日：2024-07-22

Applicant: Sony Interactive Entertainment Inc.

Inventor： Andrew James Bigos ,  Roc Ramon Currius

IPC: H04N21/466 ,  G06N3/045 ,  G06N3/084

Abstract: A hybrid codec for training a neural coding system, the hybrid codec including a real codec for encoding data pre-processed by a first neural network, and for decoding the encoded data for post-processing by a second neural network; and a proxy codec that is a differentiable representation of the real codec, and is for back-propagating a loss function, representative of a coding bit-rate and a coding distortion between the post-processed data and the original data, for training the weights of at least the first neural network.

公开(公告)号：US12100097B2

公开(公告)日：2024-09-24

申请号：US17699887

申请日：2022-03-21

Applicant: Sony Interactive Entertainment Inc.

Inventor： Andrew James Bigos ,  Gilles Christian Rainer

IPC: G06T15/50 ,  G06N3/04

CPC classification number: G06T15/506 ,  G06N3/04

Abstract: An image rendering method for rendering a pixel at a viewpoint including: for a first element of a virtual scene, having a predetermined surface at a position within that scene, providing the position and a direction based on the viewpoint to a machine learning system previously trained to predict a factor that, when combined with a distribution function that characterises an interaction of light with the predetermined surface, generates a pixel value corresponding to the first element of the virtual scene as illuminated at the position, combining the predicted factor from the machine learning system with the distribution function to generate the pixel value corresponding to the illuminated first element of the virtual scene at the position, and incorporating the pixel value into a rendered image for display.

公开(公告)号：US12020369B2

公开(公告)日：2024-06-25

申请号：US17699376

申请日：2022-03-21

Applicant: Sony Interactive Entertainment Inc.

Inventor： Andrew James Bigos ,  Sahin Serdar Kocdemir

IPC: G06T15/00 ,  G06N3/08 ,  G06T1/20 ,  G06T15/06 ,  G06T15/20 ,  G06T15/50

CPC classification number: G06T15/205 ,  G06N3/08 ,  G06T1/20 ,  G06T15/06 ,  G06T15/506

Abstract: An image rendering method for rendering a pixel at a viewpoint includes: for a first element of a virtual scene, having a predetermined surface at a position within that scene, evaluating whether to render a pixel corresponding to the first element using at least a first machine learning system having been trained to generate an illuminance output representative of the lighting of the predetermined surface at the position, or using an alternative rendering approach, and rendering the pixel according to which of the at least first machine learning system and the alternative rendering approach are chosen in the evaluating step; where the evaluating step comprises obtaining a confidence value from the at least first machine learning system indicative of the accuracy of the illuminance output, the machine learning system having been trained to generate the confidence value in conjunction with the illuminance output, and the rendering step comprises using the alternative rendering approach if the confidence value does not satisfy a predetermined threshold value.

公开(公告)号：US11654633B2

公开(公告)日：2023-05-23

申请号：US16627859

申请日：2018-07-04

Applicant: Sony Interactive Entertainment Inc.

Inventor： Andrew James Bigos

IPC: B29C64/393 ,  A63F13/25 ,  A63F13/85 ,  B33Y50/02 ,  G06T17/10 ,  G06T17/20 ,  G06T19/00 ,  G06T19/20 ,  H04B5/00

CPC classification number: B29C64/393 ,  A63F13/25 ,  A63F13/85 ,  B33Y50/02 ,  G06T17/10 ,  G06T17/205 ,  G06T19/006 ,  G06T19/20 ,  H04B5/0031

Abstract: A method of enhancing a 3D printed model includes generating successive visualisations of a virtual environment comprising a target object, receiving a user input indicating selection of a visualisation of the target object at a particular moment in time, generating visualisation data to enable subsequent visualisation of at least the target object as at the particular moment in time, causing the visualisation data to be stored at a unique location;

generating 3D print model data for 3D printing of the target object, and associating data identifying the unique location of the stored visualisation data with the 3D print model data.

公开(公告)号：US20220309730A1

公开(公告)日：2022-09-29

申请号：US17700668

申请日：2022-03-22

Applicant: Sony Interactive Entertainment Inc.

Inventor： Fabio Cappello ,  Matthew Sanders ,  Andrew James Bigos

IPC: G06T15/00 ,  G06T15/06 ,  G06T15/50 ,  G06N3/04

Abstract: An image rendering method includes: selecting at least a first trained machine learning model from among a plurality of machine learning models, the machine learning model having been trained to generate data contributing to a render of at least a part of an image, where the at least first trained machine learning model has an architecture based learning capability that is responsive to at least a first aspect of a virtual environment for which it is trained to generate the data, and using the at least first trained machine learning model to generate data contributing to a render of at least a part of an image.