公开(公告)号：US20240143607A1

公开(公告)日：2024-05-02

申请号：US18406426

申请日：2024-01-08

Applicant: Adobe Inc.

Inventor： Wei ZHANG ,  Christopher Challis

IPC: G06F16/2457 ,  G06F17/18 ,  H04L67/306 ,  H04L67/50

CPC classification number: G06F16/24578 ,  G06F17/18 ,  H04L67/306 ,  H04L67/535

Abstract: The present technology provides for facilitating efficient identification of relevant metrics. In one embodiment, a set of candidate metrics for which to determine relevance to a user is identified. For each candidate metric, a set of distribution parameters is determined, including a first distribution parameter based on implicit positive feedback associated with the metric and usage data associated with the metric and a second distribution parameter based on the usage data associated with the metric. Such usage data can efficiently facilitate identifying relevance even with an absence of negative feedback. Using the set of distribution parameters, a corresponding distribution is generated. Each distribution can then be sampled to identify a relevance score for each candidate metric indicating an extent of relevance of the corresponding metric. Based on the relevance scores for each candidate metric, a candidate metric is designated as relevant to the user.

公开(公告)号：US11972569B2

公开(公告)日：2024-04-30

申请号：US17158527

申请日：2021-01-26

Applicant: Adobe Inc.

Inventor： Brian Price ,  David Hart ,  Zhihong Ding ,  Scott Cohen

IPC: G06T7/11 ,  G06T3/40 ,  G06T3/4046 ,  G06T7/174 ,  G06T7/187

CPC classification number: G06T7/11 ,  G06T3/4046 ,  G06T7/174 ,  G06T7/187

Abstract: The present disclosure relates to a multi-model object segmentation system that provides a multi-model object segmentation framework for automatically segmenting objects in digital images. In one or more implementations, the multi-model object segmentation system utilizes different types of object segmentation models to determine a comprehensive set of object masks for a digital image. In various implementations, the multi-model object segmentation system further improves and refines object masks in the set of object masks utilizing specialized object segmentation models, which results in more improved accuracy and precision with respect to object selection within the digital image. Further, in some implementations, the multi-model object segmentation system generates object masks for portions of a digital image otherwise not captured by various object segmentation models.

公开(公告)号：US11972512B2

公开(公告)日：2024-04-30

申请号：US17583600

申请日：2022-01-25

Applicant: Adobe Inc.

Inventor： Julien Philip ,  David Nicholson Griffiths

IPC: G06T11/60 ,  G06T7/50 ,  G06T7/90 ,  G06T15/06 ,  G06T15/50

CPC classification number: G06T11/60 ,  G06T7/50 ,  G06T7/90 ,  G06T15/06 ,  G06T15/50 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Directional propagation editing techniques are described, in one example, a digital image, a depth map, and a direction are obtained by an image editing system. The image editing system then generates features. To do so, the image editing system generates features from the digital image and the depth map for each pixel based on the direction, e.g., until an edge of the digital image is reached. In an implementation, instead of storing a value of the depth directly, a ratio is stored based on a depth in the depth map and a depth of a point along the direction. The image editing system then forms a feature volume using the features, e.g., as three dimensionally stacked features. The feature volume is employed by the image editing system as part of editing the digital image to form an edited digital image.

公开(公告)号：US11971885B2

公开(公告)日：2024-04-30

申请号：US17172986

申请日：2021-02-10

Applicant: ADOBE INC.

Inventor： Fengbin Chen ,  Venkat Barakam ,  Benjamin Leviant ,  Amine Ben Khalifa ,  Kerem Turgutlu ,  Jayant Kumar ,  Sumeet Zaverilal Gala ,  Gaurav Kukal ,  Vipul Dalal

IPC: G06F16/00 ,  G06F16/245 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06F16/245 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods for information retrieval are described. Embodiments generate a dense embedding for each of a plurality of media objects to be searched, generate a sparse embedding for each of the media objects using an encoder that takes the dense embedding as an input, wherein the sparse embedding satisfies a sparsity constraint that is applied to at least one layer of the encoder during training, and perform a search on the plurality of media objects based at least in part on the sparse embedding.

公开(公告)号：US20240137397A1

公开(公告)日：2024-04-25

申请号：US18140192

申请日：2023-04-26

Applicant: Adobe Inc.

Inventor： Tarun Beri

IPC: H04L65/401

CPC classification number: H04L65/401

Abstract: In implementations of systems for resolving conflicts in collaborative digital content editing, a computing device implements a resolution system to apply a content editing operation to a digital object. The resolution system writes an indication of the content editing operation at a first position of a local transaction stack of editing operations. The resolution system transmits editing data via a network describing the content editing operation for receipt by a server system. Relay data is received via the network from the server system describing an additional content editing operation for application to the digital object. The resolution system determines a conflict between the additional content editing operation and the content editing operation and writes an indication of the additional content editing operation at a second position of the local transaction stack of editing operations that is before the first position.

公开(公告)号：US20240135973A1

公开(公告)日：2024-04-25

申请号：US17967364

申请日：2022-10-17

Applicant: Adobe Inc.

Inventor： Xue BAI ,  Justin Jonathan SALAMON ,  Aseem Omprakash AGARWALA ,  Hijung SHIN ,  Haoran CAI ,  Joel Richard BRANDT ,  Lubomira Assenova DONTCHEVA ,  Cristin Ailidh Fraser

IPC: G11B27/036 ,  G06F40/166 ,  G10L15/26 ,  G10L25/57 ,  G11B27/34

CPC classification number: G11B27/036 ,  G06F40/166 ,  G10L15/26 ,  G10L25/57 ,  G11B27/34 ,  G06F3/0482

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for identifying candidate boundaries for video segments, video segment selection using those boundaries, and text-based video editing of video segments selected via transcript interactions. In an example implementation, boundaries of detected sentences and words are extracted from a transcript, the boundaries are retimed into an adjacent speech gap to a location where voice or audio activity is a minimum, and the resulting boundaries are stored as candidate boundaries for video segments. As such, a transcript interface presents the transcript, interprets input selecting transcript text as an instruction to select a video segment with corresponding boundaries selected from the candidate boundaries, and interprets commands that are traditionally thought of as text-based operations (e.g., cut, copy, paste) as an instruction to perform a corresponding video editing operation using the selected video segment.

公开(公告)号：US20240135561A1

公开(公告)日：2024-04-25

申请号：US18320714

申请日：2023-05-19

Applicant: Adobe Inc.

Inventor： Zhihong Ding ,  Scott Cohen ,  Matthew Joss ,  Jianming Zhang ,  Darshan Prasad ,  Celso Gomes ,  Jonathan Brandt

IPC: G06T7/50 ,  G06T5/00 ,  G06V10/26

CPC classification number: G06T7/50 ,  G06T5/005 ,  G06V10/26 ,  G06T2207/20084

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implement depth-aware object move operations for digital image editing. For instance, in some embodiments, the disclosed systems determine a first object depth for a first object portrayed within a digital image and a second object depth for a second object portrayed within the digital image. Additionally, the disclosed systems move the first object to create an overlap area between the first object and the second object within the digital image. Based on the first object depth and the second object depth, the disclosed systems modify the digital image to occlude the first object or the second object within the overlap area.

公开(公告)号：US20240135513A1

公开(公告)日：2024-04-25

申请号：US18190654

申请日：2023-03-27

Applicant: Adobe Inc.

Inventor： Krishna Kumar Singh ,  Yijun Li ,  Jingwan Lu ,  Duygu Ceylan Aksit ,  Yangtuanfeng Wang ,  Jimei Yang ,  Tobias Hinz

IPC: G06T5/00 ,  G06T3/00 ,  G06T7/40 ,  G06T7/70 ,  G06V10/44 ,  G06V10/771 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06T5/005 ,  G06T3/0093 ,  G06T7/40 ,  G06T7/70 ,  G06V10/44 ,  G06V10/771 ,  G06V10/806 ,  G06V10/82 ,  G06T2207/30196

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

公开(公告)号：US20240135509A1

公开(公告)日：2024-04-25

申请号：US18190500

申请日：2023-03-27

Applicant: Adobe Inc.

Inventor： Qing Liu ,  Jianming Zhang ,  Krishna Kumar Singh ,  Scott Cohen ,  Zhe Lin

IPC: G06T5/00 ,  G06T7/11 ,  G06T11/60 ,  G06V10/764 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06T5/005 ,  G06T5/002 ,  G06T7/11 ,  G06T11/60 ,  G06V10/764 ,  G06V10/82 ,  G06V20/70 ,  G06T2200/24 ,  G06T2207/20021 ,  G06T2207/20084

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

公开(公告)号：US11967053B2

公开(公告)日：2024-04-23

申请号：US17411771

申请日：2021-08-25

Applicant: Adobe Inc.

Inventor： Saikat Chakrabarty ,  Shikhar Garg

IPC: G06T5/00 ,  G06T5/92 ,  G06T11/20

CPC classification number: G06T5/92 ,  G06T11/203 ,  G06T11/206 ,  G06T2207/20072 ,  G06T2207/20208

Abstract: A curve sampling technique for generating transformed digital visual content is leveraged in a digital medium environment. Initially, a curve sampling system obtains digital visual content, e.g., images and videos. The curve sampling system generates transformed digital visual content by transforming one or more pixels of the digital visual content using a lookup table that is derived from samples of a curve taken at evenly spaced intervals along a y-axis of a graph of the curve. Broadly speaking, the curve defines how to transform a visual characteristic of the pixels in order to achieve a desired digital visual content transformation. Additionally, the curve sampling may correspond to one step in a series of steps for transforming colors of digital visual content. Indeed, such transformations may involve multiple curve sampling steps.