公开(公告)号：US20250068829A1

公开(公告)日：2025-02-27

申请号：US18238123

申请日：2023-08-25

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Nipun Jindal

IPC: G06F40/109

Abstract: Techniques for creation and personalization of composite fonts are described. In one embodiment, a method includes receiving an input font sequence comprising font embeddings for a first font and sequence information for the first font, the font embeddings comprising numerical vectors, predicting a second font based on the font embeddings of the first font and the sequence information for the first font using a transformer-based machine learning model, selecting a character from the second font, and adding the character of the second font to a character of the first font to generate a set of characters for a composite font. Other embodiments are described and claimed.

公开(公告)号：US20250061610A1

公开(公告)日：2025-02-20

申请号：US18449286

申请日：2023-08-14

Applicant: ADOBE INC.

Inventor： Nipun Jindal ,  Brent Getlin ,  Oliver Brdiczka

IPC: G06T11/00 ,  G06F40/103 ,  G06F40/126 ,  G06T3/40 ,  G06V30/10

Abstract: Systems and methods for generating images with legible scene text are described. Embodiments are configured to obtain a prompt describing a scene, where the prompt includes scene text indicating text that is intended to be shown in a generated image; encode, using a prompt encoder, the prompt to generate a prompt embedding; encode, using a character-level encoder, the scene text to generate a character-level embedding; and generate, using an image generation network, an image that includes the scene text based on the prompt embedding and the character-level embedding.

公开(公告)号：US20240143897A1

公开(公告)日：2024-05-02

申请号：US18051720

申请日：2022-11-01

Applicant: Adobe Inc.

Inventor： Pranay Kumar ,  Nipun Jindal

IPC: G06F40/109

CPC classification number: G06F40/109

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a multi-modal vector and identifies a recommended font corresponding to the source font based on the multi-modal vector. For instance, in one or more embodiments, the disclosed systems receive an indication of a source font and determines font embeddings and glyph metrics embedding. Furthermore, the disclosed system generates, utilizing a multi-modal font machine-learning model, a multi-modal vector representing the source font based on the font embeddings and the glyph metrics embedding.

公开(公告)号：US20250097380A1

公开(公告)日：2025-03-20

申请号：US18470749

申请日：2023-09-20

Applicant: ADOBE INC.

Inventor： Nipun Jindal ,  Tanya Jindal ,  Pramendra Rathi

IPC: H04N7/01 ,  G06T11/20

Abstract: Embodiments of the present disclosure include obtaining an input video depicting a change to an image, wherein the input video has a first aspect ratio. Some embodiments compute a cost function for a frame of the input video based on a location of the change. A modified frame corresponding to the frame of the input video is generated based on the cost function. In some examples, the modified frame has a second aspect ratio different from the first aspect ratio. Then, an output video including the modified frame is generated and the output video has the second aspect ratio.

公开(公告)号：US12210813B2

公开(公告)日：2025-01-28

申请号：US18051720

申请日：2022-11-01

Applicant: Adobe Inc.

Inventor： Pranay Kumar ,  Nipun Jindal

IPC: G06F40/109

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a multi-modal vector and identifies a recommended font corresponding to the source font based on the multi-modal vector. For instance, in one or more embodiments, the disclosed systems receive an indication of a source font and determines font embeddings and glyph metrics embedding. Furthermore, the disclosed system generates, utilizing a multi-modal font machine-learning model, a multi-modal vector representing the source font based on the font embeddings and the glyph metrics embedding.

公开(公告)号：US20250022186A1

公开(公告)日：2025-01-16

申请号：US18351521

申请日：2023-07-13

Applicant: ADOBE INC.

Inventor： Nipun Jindal ,  Oliver Brdiczka

IPC: G06T11/00 ,  G06F40/126 ,  G06T5/00 ,  G06V30/10

Abstract: Systems and methods for typographically aware image generation are provided. An aspect of the systems and methods includes obtaining a prompt that includes a description of a typographic characteristic of text; encoding the prompt to obtain a prompt encoding; and generating an image that includes the text with the typographic characteristic based on the prompt encoding, wherein the image is generated using an image generation network that is trained to generate images having specific typographic characteristics.

公开(公告)号：US11886768B2

公开(公告)日：2024-01-30

申请号：US17733635

申请日：2022-04-29

Applicant: Adobe Inc.

Inventor： Pranay Kumar ,  Nipun Jindal

IPC: G06F3/16 ,  G06N3/04 ,  G06F3/04842 ,  G06F3/04883

CPC classification number: G06F3/16 ,  G06F3/04842 ,  G06F3/04883 ,  G06N3/04

Abstract: Embodiments are disclosed for real time generative audio for brush and canvas interaction in digital drawing. The method may include receiving a user input and a selection of a tool for generating audio for a digital drawing interaction. The method may further include generating intermediary audio data based on the user input and the tool selection, wherein the intermediary audio data includes a pitch and a frequency. The method may further include processing, by a trained audio transformation model and through a series of one or more layers of the trained audio transformation model, the intermediary audio data. The method may further include adjusting the series of one or more layers of the trained audio transformation model to include one or more additional layers to produce an adjusted audio transformation model. The method may further include generating, by the adjusted audio transformation model, an audio sample based on the intermediary audio data.

公开(公告)号：US20230359325A1

公开(公告)日：2023-11-09

申请号：US17737452

申请日：2022-05-05

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Nipun Jindal ,  Kushith Amerasinghe ,  Gabriel Boroghina ,  Dan-Gabriel Ghita ,  Cristian-Catalin Buzoiu ,  Arpit Mathur ,  Aliakbar Darabi ,  Alexandru Vasile Costin

IPC: G06F3/0482 ,  G06F16/58 ,  G06F16/532 ,  G06F16/583 ,  G06F3/04847

CPC classification number: G06F3/0482 ,  G06F16/5866 ,  G06F16/532 ,  G06F16/5846 ,  G06F3/04847 ,  G06F2203/04806

Abstract: An illustrator system accesses a multi-element document including a plurality of elements. The illustrator system selects, from the plurality of elements, a selected element. The illustrator system generates a replacement multi-element document that includes a substitute element in place of the selected element in the multi-element document, wherein the substitute element is different from the selected element. The illustrator system displays, via a user interface with the multi-element document, a preview of the replacement multi-element document providing a view of the replacement multi-element document, wherein the view of the replacement multi-element document is focused to depict the substitute element.

公开(公告)号：US20220284169A1

公开(公告)日：2022-09-08

申请号：US17191529

申请日：2021-03-03

Applicant: Adobe Inc.

Inventor： Nipun Jindal ,  Pramendra Rathi ,  Tanya Jindal ,  Deep Sinha

IPC: G06F40/109 ,  G06K9/00 ,  G06F40/171 ,  G06F3/0484

Abstract: Methods and systems disclosed herein relate generally to systems and methods for analyzing various stroke properties determined from strokes inputted by a user to generate a new glyph set for rendering type characters. A font-generating application receives, via a stroke input on a typographic layer presented on a user interface, strokes that trace a visual appearance of a glyph set comprising one or more glyphs. The font-generating application determines stroke properties for the strokes. The font-generating application constructs a new glyph set from the stroke properties. The font-generating application applies the new glyph set to render, on a user interface, one or more type characters that match a visual appearance of the new glyph set.