公开(公告)号：US20250166355A1

公开(公告)日：2025-05-22

申请号：US18517407

申请日：2023-11-22

Applicant: Adobe Inc.

Inventor： Arthur Jules Martin Roullier ,  Tamy Boubekeur ,  Rosalie Noémie Raphaëlle Martin ,  Romain Pierre Rouffet ,  Adrien Michel Paul Kaiser

IPC: G06V10/77 ,  G06V10/764 ,  G06V10/82 ,  G06V20/70

Abstract: In implementation of techniques for translating images based on semantic information, a computing device implements a translation system to receive an input image in a first format, encoded semantic information describing a domain of the input image, and a selection of a second format. The translation system decodes the encoded semantic information using a machine learning model. The translation system then generates an output image in the second format by translating the input image from the first format to the second format using the machine learning model, the machine learning model guided by the decoded semantic information. The translation system then displays the output image in the second format in a user interface.

公开(公告)号：US12277671B2

公开(公告)日：2025-04-15

申请号：US17454434

申请日：2021-11-10

Applicant: ADOBE INC.

Inventor： Shouchang Guo ,  Arthur Jules Martin Roullier ,  Tamy Boubekeur ,  Valentin Deschaintre ,  Jerome Derel ,  Paul Parneix

IPC: G06T3/4046 ,  G06T5/77 ,  G06T7/11 ,  G06T7/40

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure include an image processing apparatus configured to efficiently perform texture synthesis (e.g., increase the size of, or extend, texture in an input image while preserving a natural appearance of the synthesized texture pattern in the modified output image). In some aspects, the image processing apparatus implements an attention mechanism with a multi-stage attention model where different stages (e.g., different transformer blocks) progressively refine image feature patch mapping at different scales, while utilizing repetitive patterns in texture images to enable network generalization. One or more embodiments of the disclosure include skip connections and convolutional layers (e.g., between transformer block stages) that combine high-frequency and low-frequency features from different transformer stages and unify attention to micro-structures, meso-structures and macro-structures. In some aspects, the skip connections enable information propagation in the transformer network.

公开(公告)号：US11670042B2

公开(公告)日：2023-06-06

申请号：US17201721

申请日：2021-03-15

Applicant: ADOBE INC.

Inventor： Tamy Boubekeur ,  Adrien Michel Paul Kaiser ,  Rosalie Noémie Raphaële Martin ,  Romain Pierre Henri Rouffet ,  Arthur Jules Martin Roullier

IPC: G06T15/50 ,  G06T11/60 ,  G06T15/04 ,  G06N3/08 ,  G06T15/60 ,  G06F18/214 ,  G06N3/045

CPC classification number: G06T15/506 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T11/60 ,  G06T15/04 ,  G06T15/60

Abstract: Various disclosed embodiments are directed to image-to-material translation based on delighting an input image, thereby allowing proper capturing of the color and geometry properties of the input image for generating a visual rendering. This, among other functionality described herein, improves the inaccuracies, user experience, and computing resource consumption of existing technologies.

公开(公告)号：US20220292762A1

公开(公告)日：2022-09-15

申请号：US17201721

申请日：2021-03-15

Applicant: ADOBE INC.

Inventor： Tamy Boubekeur ,  Adrien Michel Paul Kaiser ,  Rosalie Noémie Raphaële Martin ,  Romain Pierre Henri Rouffet ,  Arthur Jules Martin Roullier

IPC: G06T15/50 ,  G06T11/60 ,  G06T15/04 ,  G06T15/60 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: Various disclosed embodiments are directed to image-to-material translation based on delighting an input image, thereby allowing proper capturing of the color and geometry properties of the input image for generating a visual rendering. This, among other functionality described herein, improves the inaccuracies, user experience, and computing resource consumption of existing technologies.