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公开(公告)号：US11210546B2
公开(公告)日：2021-12-28
申请号：US16822085
申请日：2020-03-18
Inventor： Yipeng Sun , Chengquan Zhang , Zuming Huang , Jiaming Liu , Junyu Han , Errui Ding
Abstract: The present disclosure proposes an end-to-end text recognition method and apparatus, computer device and readable medium. The method comprises: obtaining a to-be-recognized picture containing a text region; recognizing a position of the text region in the to-be-recognized picture and text content included in the text region with a pre-trained end-to-end text recognition model; the end-to-end text recognition model comprising a region of interest perspective transformation processing module for performing perspective transformation processing for the text region. The technical solution of the present disclosure does not need to serially arrange a plurality of steps, and may avoid introducing the accumulated errors and may effectively improve the accuracy of the text recognition.
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2.发明授权公开(公告)号：US11710215B2
公开(公告)日：2023-07-25
申请号：US17208651
申请日：2021-03-22
Inventor： Tianshu Hu , Jiaming Liu , Zhibin Hong
CPC classification number: G06T3/4046 , G06N3/08 , G06T3/4053 , G06T7/174 , G06V10/26 , G06V40/165 , G06V40/171 , G06T2207/20081 , G06T2207/20084 , G06T2207/30201
Abstract: The present application discloses a face super-resolution realization method and apparatus, an electronic device and a storage medium, and relate to fields of face image processing and deep learning. The specific implementation solution is as follows: a face part in a first image is extracted; the face part is input into a pre-trained face super-resolution model to obtain a super-sharp face image; a semantic segmentation image corresponding to the super-sharp face image is acquired; and the face part in the first image is replaced with the super-sharp face image, by utilizing the semantic segmentation image, to obtain a face super-resolution image.
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公开(公告)号：US20210232932A1
公开(公告)日：2021-07-29
申请号：US17201681
申请日：2021-03-15
Inventor： Jiaming Liu , Tianshu Hu , Shengyi He , Zhibin Hong
Abstract: A method and an apparatus for generating an image, a device and a medium are provided The method includes: acquiring a first random vector set; determining an image category to which at least one random vector in the first random vector set belongs, based on a trained classifier; and inputting a random vector belonging to the image category into a trained image generator to generate a virtual image belonging to the image category. Through the technical solution in the present disclosure, a large number of images that are definitely classified can be automatically generated.
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4.发明申请公开(公告)号：US20210209732A1
公开(公告)日：2021-07-08
申请号：US17208651
申请日：2021-03-22
Inventor： Tianshu Hu , Jiaming Liu , Zhibin Hong
Abstract: The present application discloses a face super-resolution realization method and apparatus, an electronic device and a storage medium, and relate to fields of face image processing and deep learning. The specific implementation solution is as follows: a face part in a first image is extracted; the face part is input into a pre-trained face super-resolution model to obtain a super-sharp face image; a semantic segmentation image corresponding to the super-sharp face image is acquired; and the face part in the first image is replaced with the super-sharp face image, by utilizing the semantic segmentation image, to obtain a face super-resolution image.
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