Shape aware transformation
    31.
    发明授权

    公开(公告)号:US11164355B1

    公开(公告)日:2021-11-02

    申请号:US16856269

    申请日:2020-04-23

    Applicant: ADOBE INC.

    Abstract: Systems and methods for editing an image based on multiple constraints are described. Embodiments of the systems and methods may identify a change to a vector graphics data structure, generate an update for the vector graphics data structure based on strictly enforcing a handle constraint, a binding constraint, and a continuity constraint, adjust the vector graphics data structure sequentially for each of a plurality of sculpting constraints according to a priority ordering of the sculpting constraints, generate an additional update for the vector graphics data structure based on strictly enforcing the binding constraint and the continuity constraint and approximately enforcing the handle constraint and the sculpting constraints, adjust the vector graphics data structure sequentially for each of a plurality of sculpting constraints, and display the vector graphic based on the adjusted vector graphics data structure.

    Font capture from images of target decorative character glyphs

    公开(公告)号:US11126788B2

    公开(公告)日:2021-09-21

    申请号:US16567724

    申请日:2019-09-11

    Applicant: ADOBE INC.

    Abstract: Embodiments of the present invention are directed towards generating a captured font from an image of a target font. Character glyphs of the target font can be detected from the image. A character glyph can be selected from the detected character glyphs. A character mask can be generated for the selected character glyph. The character mask can be used to identify a similar font. A character from the similar font corresponding to the selected character glyph can be transformed to match the character mask. This transformed corresponding character can be presented and used to generate a captured font. In addition, a texture from the image can be applied to the captured font based on the transformed corresponding character.

    Adding Color to Digital Images
    33.
    发明申请

    公开(公告)号:US20210233287A1

    公开(公告)日:2021-07-29

    申请号:US16751959

    申请日:2020-01-24

    Applicant: Adobe Inc.

    Abstract: In implementations of adding color to digital images, an image colorization system can display a digital image to be color adjusted in an image editing interface and convert pixel content of the digital image to a LAB color space. The image colorization system can determine a lightness value (L) in the LAB color space of the pixel content of the digital image at a specified point on the digital image, and determine colors representable in an RGB color space based on combinations of A,B value pairs with the lightness value (L) in the LAB color space. The image colorization system can then determine a range of the colors for display in a color gamut in the image editing interface, the range of the colors corresponding to the A,B value pairs with the lightness value (L) of the pixel content at the specified point on the digital image.

    Transformation of hand-drawn sketches to digital images

    公开(公告)号:US11048932B2

    公开(公告)日:2021-06-29

    申请号:US16551025

    申请日:2019-08-26

    Applicant: Adobe Inc.

    Abstract: Techniques are disclosed for generating a vector image from a raster image, where the raster image is, for instance, a photographed or scanned version of a hand-drawn sketch. While drawing a sketch, an artist may perform multiple strokes to draw a line, and the resultant raster image may have adjacent or partially overlapping salient and non-salient lines, where the salient lines are representative of the artist's intent, and the non-salient (or auxiliary) lines are formed due to the redundant strokes or otherwise as artefacts of the creation process. The raster image may also include other auxiliary features, such as blemishes, non-white background (e.g., reflecting the canvas on which the hand-sketch was made), and/or uneven lighting. In an example, the vector image is generated to include the salient lines, but not the non-salient lines or other auxiliary features. Thus, the generated vector image is a cleaner version of the raster image.

    Digital media environment for intuitive modifications of digital graphics

    公开(公告)号:US11037367B2

    公开(公告)日:2021-06-15

    申请号:US16674931

    申请日:2019-11-05

    Applicant: Adobe Inc.

    Abstract: Techniques for intuitive modifications of digital graphics in a digital media environment are described. For example, a digital graphics creation system accesses vector artwork including a vector object, such as a Bezier curve. The digital graphics creation system receives user inputs, including a user input defining handles on the vector object and a user input interacting with the handles indicating a desired change to the vector object. The digital graphics creation system modifies the vector artwork, including the vector object, by accounting for topology of the vector object and maintaining connections between connected segments of the vector object. The digital graphics creation system outputs the modified vector artwork, including the vector object, such as in a user interface.

    TRANSFORMATION OF HAND-DRAWN SKETCHES TO DIGITAL IMAGES

    公开(公告)号:US20210064858A1

    公开(公告)日:2021-03-04

    申请号:US16551025

    申请日:2019-08-26

    Applicant: Adobe Inc.

    Abstract: Techniques are disclosed for generating a vector image from a raster image, where the raster image is, for instance, a photographed or scanned version of a hand-drawn sketch. While drawing a sketch, an artist may perform multiple strokes to draw a line, and the resultant raster image may have adjacent or partially overlapping salient and non-salient lines, where the salient lines are representative of the artist's intent, and the non-salient (or auxiliary) lines are formed due to the redundant strokes or otherwise as artefacts of the creation process. The raster image may also include other auxiliary features, such as blemishes, non-white background (e.g., reflecting the canvas on which the hand-sketch was made), and/or uneven lighting. In an example, the vector image is generated to include the salient lines, but not the non-salient lines or other auxiliary features. Thus, the generated vector image is a cleaner version of the raster image.

    Digital Media Environment for Intuitive Modifications of Digital Graphics

    公开(公告)号:US20190197771A1

    公开(公告)日:2019-06-27

    申请号:US15852924

    申请日:2017-12-22

    Applicant: Adobe Inc.

    Abstract: Techniques for intuitive modifications of digital graphics in a digital media environment are described. For example, a digital graphics creation system accesses vector artwork including a vector object, such as a Bezier curve. The digital graphics creation system receives user inputs, including a user input defining handles on the vector object and a user input interacting with the handles indicating a desired change to the vector object. The digital graphics creation system modifies the vector artwork, including the vector object, by accounting for topology of the vector object and maintaining connections between connected segments of the vector object. The digital graphics creation system outputs the modified vector artwork, including the vector object, such as in a user interface.

    NEURAL NETWORK-BASED CAMERA CALIBRATION
    39.
    发明申请

    公开(公告)号:US20190164312A1

    公开(公告)日:2019-05-30

    申请号:US15826331

    申请日:2017-11-29

    Applicant: ADOBE INC.

    Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to generating training image data for a convolutional neural network, encoding parameters into a convolutional neural network, and employing a convolutional neural network that estimates camera calibration parameters of a camera responsible for capturing a given digital image. A plurality of different digital images can be extracted from a single panoramic image given a range of camera calibration parameters that correspond to a determined range of plausible camera calibration parameters. With each digital image in the plurality of extracted different digital images having a corresponding set of known camera calibration parameters, the digital images can be provided to the convolutional neural network to establish high-confidence correlations between detectable characteristics of a digital image and its corresponding set of camera calibration parameters. Once trained, the convolutional neural network can receive a new digital image, and based on detected image characteristics thereof, estimate a corresponding set of camera calibration parameters with a calculated level of confidence.

Patent Agency Ranking