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公开(公告)号：US20240404012A1
公开(公告)日：2024-12-05
申请号：US18328508
申请日：2023-06-02
Applicant: Adobe Inc.
Inventor： Hui QU , Wei-An LIN , Ratheesh KALAROT
Abstract: Systems and methods generate paired image data comprising synthesized eyeglass reflections and use the paired image data to train a machine learning model for reflection removal. A training dataset is generated that includes image pairs. Each image pair comprises a first version of a face image with eyeglasses not having a reflection and a second version of the face image with eyeglasses having a reflection. A first image pair in the training dataset is generated by: obtaining a first face image with eyeglasses not having a reflection, obtaining a reflection image, and generating a composite image using the first face image and the reflection image. Once generated, the training dataset is used to train a machine learning model to provide a trained machine learning model that performs reflection removal on input face images with eyeglass reflections.
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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
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
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