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11.发明授权公开(公告)号：US10521970B2
公开(公告)日：2019-12-31
申请号：US15900864
申请日：2018-02-21
Applicant: Adobe Inc.
Inventor： Emiliano Gambaretto , Vladimir Kim , Qingnan Zhou , Mehmet Ersin Yumer
Abstract: Certain embodiments involve refining local parameterizations that apply two-dimensional (“2D”) images to three-dimensional (“3D”) models. For instance, a particular parameterization-initialization process is select based on one or more features of a target mesh region. An initial local parameterization for a 2D image is generated from this parameterization-initialization process. A quality metric for the initial local parameterization is computed, and the local parameterization is modified to improve the quality metric. The 3D model is modified by applying image points from the 2D image to the target mesh region in accordance with the modified local parameterization.
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公开(公告)号：US10475169B2
公开(公告)日：2019-11-12
申请号：US15824943
申请日：2017-11-28
Applicant: Adobe Inc.
Inventor： Kalyan Sunkavalli , Mehmet Ersin Yumer , Marc-Andre Gardner , Xiaohui Shen , Jonathan Eisenmann , Emiliano Gambaretto
Abstract: Systems and techniques for estimating illumination from a single image are provided. An example system may include a neural network. The neural network may include an encoder that is configured to encode an input image into an intermediate representation. The neural network may also include an intensity decoder that is configured to decode the intermediate representation into an output light intensity map. An example intensity decoder is generated by a multi-phase training process that includes a first phase to train a light mask decoder using a set of low dynamic range images and a second phase to adjust parameters of the light mask decoder using a set of high dynamic range image to generate the intensity decoder.
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公开(公告)号：US20190287279A1
公开(公告)日：2019-09-19
申请号：US16428436
申请日：2019-05-31
Applicant: Adobe Inc.
Inventor： Mehmet Ersin Yumer
IPC: G06T11/20 , G06F3/0488 , G06F17/17 , G06F3/0484
Abstract: A digital medium environment is described to dynamically modify or extend an existing path in a user interface. An un-parameterized input is received that is originated by user interaction with a user interface to specify a path to be drawn. A parameterized path is fit as a mathematical ordering representation of the path to be drawn as specified by the un-parametrized input. A determination is made as to whether the parameterized path is to extend or modify the existing path in the user interface. The existing path is modified or extended in the user interface using the parameterized path in response to the determining that the parameterized path is to modify or extend the existing path.
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公开(公告)号：US20190279414A1
公开(公告)日：2019-09-12
申请号：US15915872
申请日：2018-03-08
Applicant: Adobe Inc.
Inventor： Duygu Ceylan Aksit , Yangtuanfeng Wang , Niloy Jyoti Mitra , Mehmet Ersin Yumer , Jovan Popovic
Abstract: Systems and techniques provide a user interface within an application to enable users to designate a folded object image of a folded object, as well as a superimposed image of a superimposed object to be added to the folded object image. Within the user interface, the user may simply place the superimposed image over the folded object image to obtain the desired modified image. If the user places the superimposed image over one or more folds of the folded object image, portions of the superimposed image will be removed to create the illusion in the modified image that the removed portions are obscured by one or more folds.
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公开(公告)号：US10204423B2
公开(公告)日：2019-02-12
申请号：US15430659
申请日：2017-02-13
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Oliver Wang , Minhyuk Sung , Mehmet Ersin Yumer
Abstract: Disclosed are techniques for more accurately estimating the pose of a camera used to capture a three-dimensional scene. Accuracy is enhanced by leveraging three-dimensional object priors extracted from a large-scale three-dimensional shape database. This allows existing feature matching techniques to be augmented by generic three-dimensional object priors, thereby providing robust information about object orientations across multiple images or frames. More specifically, the three-dimensional object priors provide a unit that is easier and more reliably tracked between images than a single feature point. By adding object pose estimates across images, drift is reduced and the resulting visual odometry techniques are more robust and accurate. This eliminates the need for three-dimensional object templates that are specifically generated for the imaged object, training data obtained for a specific environment, and other tedious preprocessing steps. Entire object classes identified in a three-dimensional shape database can be used to train an object detector.
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Patent Agency Ranking
公开(公告)号：US11443412B2
公开(公告)日：2022-09-13
申请号：US16678072
申请日：2019-11-08
Applicant: Adobe Inc.
Inventor： Kalyan Sunkavalli , Mehmet Ersin Yumer , Marc-Andre Gardner , Xiaohui Shen , Jonathan Eisenmann , Emiliano Gambaretto
Abstract: Systems and techniques for estimating illumination from a single image are provided. An example system may include a neural network. The neural network may include an encoder that is configured to encode an input image into an intermediate representation. The neural network may also include an intensity decoder that is configured to decode the intermediate representation into an output light intensity map. An example intensity decoder is generated by a multi-phase training process that includes a first phase to train a light mask decoder using a set of low dynamic range images and a second phase to adjust parameters of the light mask decoder using a set of high dynamic range image to generate the intensity decoder.
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公开(公告)号：US11106902B2
公开(公告)日：2021-08-31
申请号：US15920027
申请日：2018-03-13
Applicant: Adobe Inc.
Inventor： Zimo Li , Vladimir Kim , Mehmet Ersin Yumer
Abstract: Certain embodiments detect human-object interactions in image content. For example, human-object interaction metadata is applied to an input image, thereby identifying contact between a part of a depicted human and a part of a depicted object. Applying the human-object interaction metadata involves computing a joint-location heat map by applying a pose estimation subnet to the input image and a contact-point heat map by applying an object contact subnet to the to the input image. The human-object interaction metadata is generated by applying an interaction-detection subnet to the joint-location heat map and the contact-point heat map. The interaction-detection subnet is trained to identify an interaction based on joint-object contact pairs, where a joint-object contact pair includes a relationship between a human joint location and a contact point. An image search system or other computing system is provided with access to the input image having the human-object interaction metadata.
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公开(公告)号：US10783716B2
公开(公告)日：2020-09-22
申请号：US15059067
申请日：2016-03-02
Applicant: Adobe Inc.
Inventor： Mehmet Ersin Yumer
Abstract: A digital medium environment is described to generate a three dimensional facial expression from a blend shape and a facial expression source. A semantic type is detected that defines a facial expression of the blend shape. Transfer intensities are assigned based on the detected semantic type to the blend shape and the facial expression source, respectively, for individual portions of the three dimensional facial expression, the transfer intensities specifying weights given to the blend shape and the facial expression source, respectively, for the individual portions of the three dimensional facial expression. The three dimensional facial expression is generated from the blend shape and the facial expression source based on the assigned transfer intensities.
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公开(公告)号：US10607329B2
公开(公告)日：2020-03-31
申请号：US15457192
申请日：2017-03-13
Applicant: ADOBE INC.
Inventor： Kalyan K. Sunkavalli , Xiaohui Shen , Mehmet Ersin Yumer , Marc-André Gardner , Emiliano Gambaretto
Abstract: Methods and systems are provided for using a single image of an indoor scene to estimate illumination of an environment that includes the portion captured in the image. A neural network system may be trained to estimate illumination by generating recovery light masks indicating a probability of each pixel within the larger environment being a light source. Additionally, low-frequency RGB images may be generated that indicating low-frequency information for the environment. The neural network system may be trained using training input images that are extracted from known panoramic images. Once trained, the neural network system infers plausible illumination information from a single image to realistically illumination images and objects being manipulated in graphics applications, such as with image compositing, modeling, and reconstruction.
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公开(公告)号：US10599924B2
公开(公告)日：2020-03-24
申请号：US15656269
申请日：2017-07-21
Applicant: Adobe Inc.
Inventor： Xiao Yang , Paul Asente , Mehmet Ersin Yumer
Abstract: Disclosed systems and methods categorize text regions of an electronic document into document object types based on a combination of semantic information and appearance information from the electronic document. A page segmentation application executing on a computing device accesses textual feature representations that represent text portions in a vector space, where a set of pixels from the page is mapped to a textual feature representation. The page segmentation application generates a visual feature representation, which corresponds to an appearance of a document portion including the set of pixels, by applying a neural network to the page of the electronic document. The page segmentation application generates an output page segmentation of the electronic document by applying the neural network to the textual feature representation and the visual feature representation.
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