公开(公告)号：US12002149B2

公开(公告)日：2024-06-04

申请号：US17540173

申请日：2021-12-01

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06K9/36 ,  G06F16/58 ,  G06T5/50 ,  G06T7/32 ,  G06T15/20

CPC classification number: G06T15/205 ,  G06F16/58 ,  G06T5/50 ,  G06T7/32

Abstract: Techniques for machine learning based image attribute determination are disclosed. In some embodiments, one or more unknown attributes of a received image comprising a prescribed environment are determined using a machine learning based framework. The machine learning based framework is at least in part trained on image data sets comprising a model environment that substantially simulates the prescribed environment.

公开(公告)号：US11810270B2

公开(公告)日：2023-11-07

申请号：US17870830

申请日：2022-07-22

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T5/00 ,  G06K9/62 ,  G06T7/60 ,  G06T7/40 ,  G06N20/00 ,  G06T19/20 ,  G06V10/46 ,  G06V20/10 ,  G06V20/64 ,  G06T15/06 ,  G06N3/04 ,  G06F18/214 ,  G06F18/21 ,  G06V10/774 ,  G06V10/776 ,  G06N3/045

CPC classification number: G06T5/002 ,  G06F18/214 ,  G06F18/217 ,  G06N20/00 ,  G06T7/40 ,  G06T7/60 ,  G06T15/06 ,  G06T19/20 ,  G06V10/774 ,  G06V10/776 ,  G06V20/10 ,  G06V20/64 ,  G06N3/045 ,  G06T2207/20081 ,  G06T2219/2024

Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.

公开(公告)号：US11704861B2

公开(公告)日：2023-07-18

申请号：US17539065

申请日：2021-11-30

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T15/06 ,  G06T17/10

CPC classification number: G06T15/06 ,  G06T17/10

Abstract: Adaptive sampling of pixels is disclosed. In some embodiments, convergence of pixels of a rendering is evaluated by removing texture from the rendering to eliminate non-convergence due to texture complexity and determining whether pixels values satisfy convergence criteria associated with pixel sampling. Those pixels of the rendering that have not converged are sampled with one or more additional samples. The completed rendering is output. Pixels of the completed rendering satisfy the convergence criteria and are not uniformly sampled.

公开(公告)号：US11688145B2

公开(公告)日：2023-06-27

申请号：US17332045

申请日：2021-05-27

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Marc Mignard

IPC: G06T19/00 ,  G06T11/00 ,  H04N21/2343 ,  H04N21/4223 ,  H04N21/81 ,  G06V20/64 ,  H04N23/80 ,  H04N7/01

CPC classification number: G06T19/006 ,  G06T11/00 ,  G06V20/64 ,  H04N7/0125 ,  H04N21/234318 ,  H04N21/4223 ,  H04N21/8126 ,  H04N23/80

Abstract: Techniques for virtualizing content are disclosed. Elements comprising source content are virtualized by mapping each to and representing each with a corresponding database object. A specification of the corresponding database objects is provided for rendering the source content instead of any original pixel information of the source content so that a virtualized version of the source content is rendered.

公开(公告)号：US20230124190A1

公开(公告)日：2023-04-20

申请号：US17966212

申请日：2022-10-14

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar ,  Marc Mignard ,  Avinash Venkata Uppuluri ,  Jodhvir Singh Chahal ,  John Le

IPC: H04N13/156 ,  H04N13/254

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. One or more sets of images of a scene are captured in an imaging studio. The captured one or more sets of images of the scene are processed using one or more machine learning based networks to generate an interactive image of the scene comprising a plurality of interactive features. One or more of the plurality of interactive features of the generated interactive image may be modified or edited according to user preferences.

公开(公告)号：US20230119071A1

公开(公告)日：2023-04-20

申请号：US17966349

申请日：2022-10-14

Applicant: Outward, Inc.

Inventor： Himanshu Jain ,  Clarence Chui ,  Manu Parmar ,  Akshansh Chaudhry ,  Andrew Pang ,  Lakshay Sharma ,  Brook Aaron Seaton

IPC: G06T17/20 ,  G06T7/50 ,  G06T15/50

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. One or more sets of images of a scene are captured in an imaging studio. The captured one or more sets of images of the scene are processed using one or more machine learning based networks to generate an interactive image of the scene comprising a plurality of interactive features. One or more of the plurality of interactive features of the generated interactive image may be modified or edited according to user preferences.

公开(公告)号：US20230086562A1

公开(公告)日：2023-03-23

申请号：US18072568

申请日：2022-11-30

Applicant: Outward, Inc.

Inventor： Manu Parmar ,  Brook Seaton ,  Clarence Chui

IPC: G06T17/00 ,  G06T7/70 ,  G06T19/00

Abstract: Techniques for generating aligned, augmented reality views are disclosed. In some embodiments, an estimate of a floorplan of a three-dimensional space is first generated based on one or more received views of the three-dimensional space from a camera located in the three-dimensional space. A camera pose of the camera in the three-dimensional space is next determined based on generating a corrected floorplan from the estimate of the floorplan based on foreknowledge associated with the floorplan. Display of a rendering having the determined camera pose is facilitated in an actual view of the camera, resulting in an aligned, augmented reality view.

公开(公告)号：US11449967B2

公开(公告)日：2022-09-20

申请号：US17131586

申请日：2020-12-22

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T5/00 ,  G06K9/62 ,  G06T7/60 ,  G06T7/40 ,  G06N20/00 ,  G06T19/20 ,  G06V10/46 ,  G06V20/10 ,  G06V20/64 ,  G06T15/06 ,  G06N3/04

Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.

公开(公告)号：US20210217225A1

公开(公告)日：2021-07-15

申请号：US17219718

申请日：2021-03-31

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T15/20 ,  G06T7/32 ,  G06T5/50 ,  G06F16/58

Abstract: Techniques for generating an arbitrary view of an asset are disclosed. In some embodiments, arbitrary view generation includes storing a set of images of an asset, wherein each image comprising at least a subset of the set of images is rendered from a three-dimensional model of the asset, and generating an image comprising an arbitrary perspective of the asset at least in part by populating the image comprising the arbitrary perspective with pixels harvested from one or more images comprising the set of images.

公开(公告)号：US20210217143A1

公开(公告)日：2021-07-15

申请号：US17218668

申请日：2021-03-31

Applicant: Outward, Inc.

Inventor： Clarence Chui ,  Manu Parmar

IPC: G06T5/00 ,  G06K9/00 ,  G06K9/62 ,  G06T7/60 ,  G06T7/40 ,  G06K9/46 ,  G06N20/00 ,  G06T19/20 ,  G06T15/06

Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.