公开(公告)号：US20210082118A1

公开(公告)日：2021-03-18

申请号：US16574513

申请日：2019-09-18

Applicant: ADOBE INC.

Inventor： Jianming ZHANG ,  Zhe LIN

IPC: G06T7/11 ,  G06N3/04

Abstract: Enhanced methods and systems for the semantic segmentation of images are described. A refined segmentation mask for a specified object visually depicted in a source image is generated based on a coarse and/or raw segmentation mask. The refined segmentation mask is generated via a refinement process applied to the coarse segmentation mask. The refinement process correct at least a portion of both type I and type II errors, as well as refine boundaries of the specified object, associated with the coarse segmentation mask. Thus, the refined segmentation mask provides a more accurate segmentation of the object than the coarse segmentation mask. A segmentation refinement model is employed to generate the refined segmentation mask based on the coarse segmentation mask. That is, the segmentation model is employed to refine the coarse segmentation mask to generate more accurate segmentations of the object. The refinement process is an iterative refinement process carried out via a trained neural network.

公开(公告)号：US20240028871A1

公开(公告)日：2024-01-25

申请号：US17870496

申请日：2022-07-21

Applicant: Adobe Inc.

Inventor： Mang Tik CHIU ,  Connelly BARNES ,  Zijun WEI ,  Zhe LIN ,  Yuqian ZHOU ,  Xuaner ZHANG ,  Sohrab AMIRGHODSI ,  Florian KAINZ ,  Elya SHECHTMAN

IPC: G06N3/04 ,  G06T5/00 ,  G06T5/30 ,  G06T7/62 ,  G06T3/40

CPC classification number: G06N3/0454 ,  G06T5/005 ,  G06T5/30 ,  G06T7/62 ,  G06T3/40

Abstract: Embodiments are disclosed for performing wire segmentation of images using machine learning. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input image, generating, by a first trained neural network model, a global probability map representation of the input image indicating a probability value of each pixel including a representation of wires, and identifying regions of the input image indicated as including the representation of wires. The disclosed systems and methods further comprise, for each region from the identified regions, concatenating the region and information from the global probability map to create a concatenated input, and generating, by a second trained neural network model, a local probability map representation of the region based on the concatenated input, indicating pixels of the region including representations of wires. The disclosed systems and methods further comprise aggregating local probability maps for each region.

公开(公告)号：US20220415084A1

公开(公告)日：2022-12-29

申请号：US17902349

申请日：2022-09-02

Applicant: Adobe Inc.

Inventor： Saeid MOTIIAN ,  Zhe LIN ,  Shabnam GHADAR ,  Baldo FAIETA

IPC: G06V40/16 ,  G06K9/62 ,  G06V30/194 ,  G06V40/10 ,  G06K9/00

Abstract: Embodiments are disclosed for finding similar persons in images. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an image query, the image query including an input image that includes a representation of a person, generating a first cropped image including a representation of the person's face and a second cropped image including a representation of the person's body, generating an image embedding for the input image by combining a face embedding corresponding to the first cropped image and a body embedding corresponding to the second cropped image, and querying an image repository in embedding space by comparing the image embedding to a plurality of image embeddings associated with a plurality of images in the image repository to obtain one or more images based on similarity to the input image in the embedding space.

公开(公告)号：US20220237830A1

公开(公告)日：2022-07-28

申请号：US17155570

申请日：2021-01-22

Applicant: Adobe Inc.

Inventor： Siavash KHODADADEH ,  Zhe LIN ,  Shabnam GHADAR ,  Saeid MOTIIAN ,  Richard ZHANG ,  Ratheesh KALAROT ,  Baldo FAIETA

IPC: G06T11/00 ,  G06T7/90 ,  G06N3/04 ,  G06N3/08

Abstract: Embodiments are disclosed for automatic object re-colorization in images. In some embodiments, a method of automatic object re-colorization includes receiving a request to recolor an object in an image, the request including an object identifier and a color identifier, identifying an object in the image associated with the object identifier, generating a mask corresponding to the object in the image, providing the image, the mask, and the color identifier to a color transformer network, the color transformer network trained to recolor objects in input images, and generating, by the color transformer network, a recolored image, wherein the object in the recolored image has been recolored to a color corresponding to the color identifier