-
公开(公告)号：US11790581B2
公开(公告)日：2023-10-17
申请号：US17034845
申请日：2020-09-28
Applicant: Adobe Inc.
Inventor： Saikat Chakrabarty , Sunil Kumar
CPC classification number: G06T11/60 , G06N3/08 , G06T5/50 , G06V40/165 , G06V40/171
Abstract: The disclosure describes one or more embodiments of systems, methods, and non-transitory computer-readable media that generate a transferred hairstyle image that depicts a person from a source image having a hairstyle from a target image. For example, the disclosed systems utilize a face-generative neural network to project the source and target images into latent vectors. In addition, in some embodiments, the disclosed systems quantify (or identify) activation values that control hair features for the projected latent vectors of the target and source image. Furthermore, in some instances, the disclosed systems selectively combine (e.g., via splicing) the projected latent vectors of the target and source image to generate a hairstyle-transfer latent vector by using the quantified activation values. Then, in one or more embodiments, the disclosed systems generate a transferred hairstyle image that depicts the person from the source image having the hairstyle from the target image by synthesizing the hairstyle-transfer latent vector.
-
公开(公告)号：US11763436B2
公开(公告)日：2023-09-19
申请号：US16944452
申请日：2020-07-31
Applicant: ADOBE INC.
Inventor： Saikat Chakrabarty , Sunil Kumar
CPC classification number: G06T7/0002 , G06N3/084 , G06T5/50 , G06V10/751 , G06T2207/20081 , G06T2207/20084 , G06T2207/20104 , G06T2207/20212
Abstract: Systems and methods for digital image processing are described. Embodiments of the systems and methods includes identifying a digital image that includes an obscured region; generating a predicted image using a neural network comprising an encoder, a feature transfer network, and a decoder, wherein the feature transfer network is trained to predict features corresponding to the obscured region based on an output of the decoder; and combining the digital image and the predicted image to produce a reconstructed version of the digital image including details corresponding to the obscured region that are not present in the digital image.
-
公开(公告)号：US20210103632A1
公开(公告)日：2021-04-08
申请号：US16595793
申请日：2019-10-08
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
Abstract: Font recommendation systems and techniques are provided for determining one or more font recommendations. Content aware font recommendations can be determined for an electronic document based on information from the design context of the electronic document. For example, to generate recommended fonts for an electronic document, the font recommendation systems and techniques can obtain one or images of the electronic document and/or text from the electronic document as input, and can process the one or more images and/or the text to determine recommended font tags. In some cases, recommended fonts can be determined based on user search queries, such as when a user searches for a particular font.
-
公开(公告)号：US12210814B2
公开(公告)日：2025-01-28
申请号：US18296867
申请日：2023-04-06
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
IPC: G06F40/109 , G06F18/2431 , G06F40/117 , G06F40/20 , G06V10/764 , G06V10/82 , G06V30/413
Abstract: Techniques for content-aware font recommendations include obtaining an electronic document comprising an image and text. The image is processed using one or more convolutional neural networks to determine one or more image tags. The image tags are mapped to one or more font tags using a user map, a designer map, or one or more contextual synonyms of the image tags. A font to recommend for the electronic document is then determined using the one or more font tags.
-
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
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.
-
Patent Agency Ranking
公开(公告)号：US20230244849A1
公开(公告)日：2023-08-03
申请号：US18296867
申请日：2023-04-06
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
IPC: G06F40/109 , G06F40/117 , G06F18/2431 , G06V30/413 , G06F40/20
CPC classification number: G06F40/109 , G06F40/117 , G06F18/2431 , G06V30/413 , G06F40/20
Abstract: Techniques for content-aware font recommendations include obtaining an electronic document comprising an image and text. The image is processed using one or more convolutional neural networks to determine one or more image tags. The image tags are mapped to one or more font tags using a user map, a designer map, or one or more contextual synonyms of the image tags. A font to recommend for the electronic document is then determined using the one or more font tags.
-
公开(公告)号：US11636251B2
公开(公告)日：2023-04-25
申请号：US16595793
申请日：2019-10-08
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
IPC: G06F40/109 , G06K9/62 , G06F40/20 , G06F40/117 , G06V30/413
Abstract: Font recommendation systems and techniques are provided for determining one or more font recommendations. Content aware font recommendations can be determined for an electronic document based on information from the design context of the electronic document. For example, to generate recommended fonts for an electronic document, the font recommendation systems and techniques can obtain one or images of the electronic document and/or text from the electronic document as input, and can process the one or more images and/or the text to determine recommended font tags. In some cases, recommended fonts can be determined based on user search queries, such as when a user searches for a particular font.
-
公开(公告)号：US11610046B2
公开(公告)日：2023-03-21
申请号：US16667119
申请日：2019-10-29
Applicant: Adobe Inc.
Inventor： Pawan Kishor Singh , Nirmal Kumawat , Saikat Chakrabarty
IPC: G06F40/10 , G06F40/109 , G06T11/00
Abstract: A document authoring application receives a text input including one or more alphanumeric characters. A glyph extraction module in the application determines graphical data describing glyphs of the alphanumeric characters. From the graphical data, the glyph extraction module extracts visual elements, each visual element including a color or an outline from the glyphs. The glyph extraction module generates a responsive font effect that includes the extracted visual element applied to one or more of an underline effect, a strikethrough effect, a bullet point effect, or a list dot effect. Responsive to a modification of the text input, the glyph extraction module extracts an additional visual element from an additional glyph associated with the modified text. The responsive font effect is modified to include the additional visual element. The user interface is updated to display the responsive font effect or the modified font effect.
-
公开(公告)号：US11580669B2
公开(公告)日：2023-02-14
申请号：US17093060
申请日：2020-11-09
Applicant: Adobe Inc.
Inventor： Jose Ignacio Echevarria Vallespi , Shikhar Garg , Saikat Chakrabarty , Nirmal Kumawat
Abstract: Embodiments are disclosed for determining a context-aware text color recommendation for text at a text location on an image. In particular, in one or more embodiments, the disclosed systems and methods comprise obtaining an image and a text location on the image, identifying at least one color theme based on a color harmonic template associated with the image, modifying the at least one color theme based on characteristics of the image, determining accessibility for at least one color in the at least one color theme based on the text location on the image, and determining a color palette recommendation for text at the text location on the image based on the determined accessibility for the at least one color in the at least one color theme.
-
公开(公告)号：US20210383515A1
公开(公告)日：2021-12-09
申请号：US17411771
申请日：2021-08-25
Applicant: Adobe Inc.
Inventor： Saikat Chakrabarty , Shikhar Garg
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.
-
-
-
-
-
-
-
-
-
Search Results
24
records
(took 0.018 seconds)
