公开(公告)号：US12125227B2

公开(公告)日：2024-10-22

申请号：US17656605

申请日：2022-03-25

Applicant: Adobe Inc.

Inventor： Jianming Zhang

IPC: G06T7/593 ,  G06F17/11 ,  G06N20/00

CPC classification number: G06T7/593 ,  G06F17/11 ,  G06N20/00

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for training and/or implementing machine learning models utilizing compressed log scene measurement maps. For example, the disclosed system generates compressed log scene measurement maps by converting scene measurement maps to compressed log scene measurement maps by applying a logarithmic function. In particular, the disclosed system uses scene measurement distribution metrics from a digital image to determine a base for the logarithmic function. In this way, the compressed log scene measurement maps normalize ranges within a digital image and accurately differentiates between scene elements objects at a variety of depths. Moreover, for training, the disclosed system generates a predicted scene measurement map via a machine learning model and compares the predicted scene measurement map with a compressed log ground truth map. By doing so, the disclosed system trains the machine learning model to generate accurate compressed log depth maps.

公开(公告)号：US12125148B2

公开(公告)日：2024-10-22

申请号：US17664972

申请日：2022-05-25

Applicant: ADOBE INC.

Inventor： Chang Xiao ,  Ryan A. Rossi ,  Eunyee Koh

IPC: G06T19/00 ,  G06T7/00 ,  G06T7/73

CPC classification number: G06T19/006 ,  G06T7/73 ,  G06T7/97 ,  G06T2207/20224 ,  G06T2207/30204

Abstract: A system and methods for providing human-invisible AR markers is described. One aspect of the system and methods includes identifying AR metadata associated with an object in an image; generating AR marker image data based on the AR metadata; generating a first variant of the image by adding the AR marker image data to the image; generating a second variant of the image by subtracting the AR marker image data from the image; and displaying the first variant and the second variant of the image alternately at a display frequency to produce a display of the image, wherein the AR marker image data is invisible to a human vision system in the display of the image.

公开(公告)号：US12125128B2

公开(公告)日：2024-10-22

申请号：US17363356

申请日：2021-06-30

Applicant: Adobe Inc.

Inventor： Arushi Jain ,  Praveen Kumar Dhanuka ,  Gaurav Jain

IPC: G06K9/00 ,  G06F3/04842 ,  G06F3/04845 ,  G06T7/13 ,  G06T11/20 ,  G06V20/62

CPC classification number: G06T11/203 ,  G06F3/04842 ,  G06F3/04845 ,  G06T7/13 ,  G06V20/62

Abstract: In implementations for free form radius editing, a computing device implements a radius editing system, such as may be integrated with an image editing application. The radius editing system can determine the edge segments for outlines of image objects depicted in a digital image, where the edge segments include corner segments of the image objects. The radius editing system can also determine the radius values of the corner segments of the image objects, and the radius values of the corner segments are maintained in a cache as part of object data corresponding to the image objects depicted in the digital image. The radius editing system can also identify one or more similar corner segments of the image objects that have an equivalent radius value as a selected corner segment responsive to an editing input of a radius of the selected corner segment of an image object.

公开(公告)号：US12124683B1

公开(公告)日：2024-10-22

申请号：US18409638

申请日：2024-01-10

Applicant: Adobe Inc.

Inventor： Yaman Kumar ,  Somesh Singh ,  William Brandon George ,  Timothy Chia-chi Liu ,  Suman Basetty ,  Pranjal Prasoon ,  Nikaash Puri ,  Mihir Naware ,  Mihai Corlan ,  Joshua Marshall Butikofer ,  Abhinav Chauhan ,  Kumar Mrityunjay Singh ,  James Patrick O'Reilly ,  Hyman Chung ,  Lauren Dest ,  Clinton Hansen Goudie-Nice ,  Brandon John Pack ,  Balaji Krishnamurthy ,  Kunal Kumar Jain ,  Alexander Klimetschek ,  Matthew William Rozen

IPC: G06F3/0484 ,  G06F3/0482 ,  G06F18/2415 ,  G06F40/151 ,  G06F40/166 ,  G06T11/20 ,  G06V10/40 ,  G06V10/764

CPC classification number: G06F3/0484 ,  G06F3/0482 ,  G06F18/2415 ,  G06F40/151 ,  G06F40/166 ,  G06T11/206 ,  G06V10/40 ,  G06V10/764 ,  G06T2200/24

Abstract: Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.

公开(公告)号：US12124439B2

公开(公告)日：2024-10-22

申请号：US17513127

申请日：2021-10-28

Applicant: Adobe Inc.

Inventor： Handong Zhao ,  Zhe Lin ,  Zhaowen Wang ,  Zhankui He ,  Ajinkya Gorakhnath Kale

IPC: G06F16/245 ,  G06F16/248 ,  G06N20/00

CPC classification number: G06F16/245 ,  G06F16/248 ,  G06N20/00

Abstract: Digital content search techniques are described that overcome the challenges found in conventional sequence-based techniques through use of a query-aware sequential search. In one example, a search query is received and sequence input data is obtained based on the search query. The sequence input data describes a sequence of digital content and respective search queries. Embedding data is generated based on the sequence input data using an embedding module of a machine-learning model. The embedding module includes a query-aware embedding layer that generates embeddings of the sequence of digital content and respective search queries. A search result is generated referencing at least one item of digital content by processing the embedding data using at least one layer of the machine-learning model.

公开(公告)号：US20240346737A1

公开(公告)日：2024-10-17

申请号：US18756135

申请日：2024-06-27

Applicant: Adobe Inc.

Inventor： Jun Saito ,  Nitin Saini ,  Ruben Villegas

IPC: G06T13/40 ,  G06T9/00 ,  G06T13/20 ,  G06T17/00

CPC classification number: G06T13/40 ,  G06T9/001 ,  G06T13/205 ,  G06T17/00

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing unsupervised learning of discrete human motions to generate digital human motion sequences. The disclosed system utilizes an encoder of a discretized motion model to extract a sequence of latent feature representations from a human motion sequence in an unlabeled digital scene. The disclosed system also determines sampling probabilities from the sequence of latent feature representations in connection with a codebook of discretized feature representations associated with human motions. The disclosed system converts the sequence of latent feature representations into a sequence of discretized feature representations by sampling from the codebook based on the sampling probabilities. Additionally, the disclosed system utilizes a decoder to reconstruct a human motion sequence from the sequence of discretized feature representations. The disclosed system also utilizes a reconstruction loss and a distribution loss to learn parameters of the discretized motion model.

公开(公告)号：US12118752B2

公开(公告)日：2024-10-15

申请号：US17658799

申请日：2022-04-11

Applicant: Adobe Inc.

Inventor： Zhihong Ding ,  Scott Cohen ,  Zhe Lin ,  Mingyang Ling

IPC: G06T7/90 ,  G06F18/22 ,  G06F18/24 ,  G06N3/02 ,  G06V10/56 ,  G06V20/20

CPC classification number: G06T7/90 ,  G06F18/22 ,  G06F18/24 ,  G06N3/02 ,  G06V10/56 ,  G06V20/20 ,  G06T2207/10024 ,  G06T2207/20084

Abstract: The present disclosure relates to a color classification system that accurately classifies objects in digital images based on color. In particular, in one or more embodiments, the color classification system utilizes a multidimensional color space and one or more color mappings to match objects to colors. Indeed, the color classification system can accurately and efficiently detect the color of an object utilizing one or more color similarity regions generated in the multidimensional color space.

公开(公告)号：US20240338915A1

公开(公告)日：2024-10-10

申请号：US18132272

申请日：2023-04-07

Applicant: Adobe Inc.

Inventor： Zhixin Shu ,  Zexiang Xu ,  Shahrukh Athar ,  Sai Bi ,  Kalyan Sunkavalli ,  Fujun Luan

IPC: G06T19/20 ,  G06N3/08 ,  G06T15/80 ,  G06T17/20

CPC classification number: G06T19/20 ,  G06N3/08 ,  G06T15/80 ,  G06T17/20 ,  G06T2210/44 ,  G06T2219/2012 ,  G06T2219/2021

Abstract: Certain aspects and features of this disclosure relate to providing a controllable, dynamic appearance for neural 3D portraits. For example, a method involves projecting a color at points in a digital video portrait based on location, surface normal, and viewing direction for each respective point in a canonical space. The method also involves projecting, using the color, dynamic face normals for the points as changing according to an articulated head pose and facial expression in the digital video portrait. The method further involves disentangling, based on the dynamic face normals, a facial appearance in the digital video portrait into intrinsic components in the canonical space. The method additionally involves storing and/or rendering at least a portion of a head pose as a controllable, neural 3D portrait based on the digital video portrait using the intrinsic components.

公开(公告)号：US12112456B2

公开(公告)日：2024-10-08

申请号：US18045730

申请日：2022-10-11

Applicant: Adobe Inc.

Inventor： Federico Perazzi ,  Jingwan Lu

IPC: G06K9/00 ,  G06F18/21 ,  G06N3/045 ,  G06N3/08 ,  G06T3/4046 ,  G06T5/70 ,  G06T7/11 ,  G06V30/262

CPC classification number: G06T5/70 ,  G06F18/21 ,  G06N3/045 ,  G06N3/08 ,  G06T3/4046 ,  G06T7/11 ,  G06V30/274 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: The present disclosure relates to an image retouching system that automatically retouches digital images by accurately correcting face imperfections such as skin blemishes and redness. For instance, the image retouching system automatically retouches a digital image through separating digital images into multiple frequency layers, utilizing a separate corresponding neural network to apply frequency-specific corrections at various frequency layers, and combining the retouched frequency layers into a retouched digital image. As described herein, the image retouching system efficiently utilizes different neural networks to target and correct skin features specific to each frequency layer.

公开(公告)号：US12112349B2

公开(公告)日：2024-10-08

申请号：US15238208

申请日：2016-08-16

Applicant: ADOBE INC.

Inventor： Natwar Modani ,  Iftikhar Ahamath Burhanuddin ,  Gaurush Hiranandani ,  Shiv Kumar Saini

IPC: G06Q30/0242

CPC classification number: G06Q30/0244

Abstract: Methods and systems are provided herein for summarizing a set of anomalies corresponding to a group of metrics of interest to a monitoring system user. Initially, a set of anomalies corresponding to a group of metrics is identified as having values that are outside of a predetermined range. A correlation value is determined for at least a portion of pairs of anomalies in the set of anomalies. For each anomaly in the set of anomalies, an informativeness value is computed that indicates how informative each anomaly in the set of anomalies is to the monitoring system user. The correlation values and the informativeness values are then used to identify at least one key anomaly and a plurality of non-key anomalies from the set of anomalies. A summary is generated of the identified at least one key anomaly to provide information to the monitoring system user about the set of anomalies for a particular time period.