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公开(公告)号：US20230115094A1
公开(公告)日：2023-04-13
申请号：US17047935
申请日：2019-12-19
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Hanwen Liu , Pablo Navarrete Michelini
IPC: G06T13/40 , G06T11/60 , G06T7/194 , G06T7/70 , G06F3/0482 , G06F3/04845 , G06F3/04883
Abstract: A computer-implemented method is provided. The computer-implemented method includes rendering a dynamic effect to one or more objects in an image. The method includes setting boundary points surrounding a foreground object to define a boundary area in which a dynamic movement is to be realized; setting a movement line to define a dynamic movement direction along which the dynamic movement is to be realized, wherein setting the movement line includes detecting a continuous touch over different positions on the touch control display panel; setting a stationary area to define an area in which the dynamic movement is prohibited, wherein setting the stationary area includes detecting a first touch area corresponding to the stationary area on the touch control display panel; and generating an animation of the foreground object in the boundary area moving along the dynamic movement direction, thereby realizing the dynamic effect in the image.
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公开(公告)号：US11615505B2
公开(公告)日：2023-03-28
申请号：US16604410
申请日：2019-04-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Dan Zhu , Hanwen Liu
IPC: G06T3/20 , G06N3/04 , G06N3/08 , G06T3/40 , G06V10/75 , G06V10/82 , G06V10/42 , G06N3/088 , G06T5/00 , G06T5/50 , G06K9/62
Abstract: The present disclosure generally relates to the field of deep learning technologies. An apparatus for generating a plurality of correlation images may include a feature extracting unit configured to receive a training image and extracting at least one or more of feature from the training image to generate a first feature image based on the training image; a normalizer configured to normalize the first feature image and generate a second feature image; and a shift correlating unit configured to perform a plurality of translational shifts on the second feature image to generate a plurality of shifted images, correlate each of the plurality of shifted images with the second feature image to generate the plurality of correlation images.
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公开(公告)号：US20220028141A1
公开(公告)日：2022-01-27
申请号：US17296773
申请日：2020-09-07
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Pablo Navarrete Michelini , Hanwen Liu
Abstract: The present disclosure discloses a method and device of dynamic processing of an image and a computer-readable storage medium. Based on the position data of the critical points in the original image and the target image, by unit splitting and affine transformation, the mapping relation between any two neighboring states of the initial state, the intermediate states and the ending state is determined, in turn the intermediate images formed in the intermediate states are determined and obtained based on the mapping relation and the correspondence of all of the points in the basic units, and finally the original image, the intermediate images and the target image are sequentially displayed to present a dynamic effect of the images.
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公开(公告)号：US20210365710A1
公开(公告)日：2021-11-25
申请号：US16959786
申请日：2020-01-06
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Dan Zhu , Hanwen Liu , Pablo Navarrete Michelini , Lijie Zhang
Abstract: An image processing method is disclosed. The image processing method may include inputting a first image and a third image to a pre-trained style transfer network model, the third image being a composited image formed by the first image and a second image; extracting content features of the third image and style features of the second image, normalizing the content features of the third image based on the style features of the second image to obtain target image features, and generating a target image based on the target image features and outputting the target image by using the pre-trained style transfer network model.
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公开(公告)号：US20210342976A1
公开(公告)日：2021-11-04
申请号：US16614558
申请日：2019-06-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Dan Zhu , Hanwen Liu
Abstract: The present disclosure provides a method of training a generative adversarial network. The method includes iteratively enhancing a first noise input in a generative network to generate a first output image; iteratively enhancing a second noise input in the generative network to generate a second output image; transmitting the first output image and a second reference image to a discriminative network, the second reference image corresponding to the first reference image and having a higher resolution than the first reference image; obtaining a first score from the discriminative network based on the second reference image, and a second score from the discriminative network based on the first output image; calculating a loss function of the generative network based on the first score and the second score; and adjusting at least one parameter of the generative network to lower the loss function of the generative network.
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Patent Agency Ranking
16.发明授权公开(公告)号：US11069047B2
公开(公告)日：2021-07-20
申请号：US16447547
申请日：2019-06-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Hanwen Liu , Pablo Navarrete Michelini , Lijie Zhang , Dan Zhu
Abstract: An image processing method implemented by a computing device is described herein, which includes acquiring an image to be processed and a target style of image, the image to be processed being an image of a second resolution level, and inputting the image to be processed and the target style into a trained image processing neural network for image processing to obtain a target image of the target style, the target image being an image of a first resolution level. The resolution of the image of the first resolution level is higher than that of the image of the second resolution level.
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公开(公告)号：US20240370981A1
公开(公告)日：2024-11-07
申请号：US18030429
申请日：2022-03-24
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Guannan Chen , Yanhong Wu
IPC: G06T5/92 , G06T3/4053 , G06V10/771
Abstract: The present disclosure provides an image processing method, a computing system, a device, and a readable storage medium. The image processing method includes: using an inverse tone mapping neural network to process a first image, the inverse tone mapping neural network is configured to expand a dynamic range of the first image and a color gamut range of the first image to obtain a second image that is expanded, the inverse tone mapping neural network includes a mapping network, the mapping network is used to realize the expansion, and the inverse tone mapping neural network further includes an attention network, an input of the mapping network and an input of the attention network are both the first image, the attention network is used to process image contents of the first image to generate correction coefficients, and the correction coefficients are used to correct parameters of the mapping network.
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公开(公告)号：US20240062344A1
公开(公告)日：2024-02-22
申请号：US17764458
申请日：2021-03-22
Applicant: BOE Technology Group Co., Ltd.
Inventor： Ran Duan , Dan Zhu , Yanhong Wu , Guannan Chen
CPC classification number: G06T5/005 , G06T3/40 , G06T5/002 , G06T5/30 , G06T5/50 , G06T7/254 , G06T7/90 , G06T2207/10016 , G06T2207/10024 , G06T2207/20016 , G06T2207/20032 , G06T2207/20081 , G06T2207/20084 , G06T2207/20224
Abstract: An image processing method and an image processing device are provided. The image processing method includes performing at least one of a scratch repairing step, a dead point repairing step, a denoising step and a color cast correcting step on a to-be-processed video frame. According to the embodiments of the present disclosure, it is able to repair a scratch and a dead point, remove a noise and/or correct color cast for a video frame, thereby to improve a display effect of the video frame.
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公开(公告)号：US20230156147A1
公开(公告)日：2023-05-18
申请号：US17625714
申请日：2021-03-02
Applicant: BOE Technology Group Co., Ltd.
IPC: H04N7/01
CPC classification number: H04N7/012 , H04N7/0102
Abstract: A video image de-interlacing method is provided. The method-includes: acquiring a single frame of original video image; extracting odd field data and even field data in an original video image; performing N-1 times of down-sampling on the odd field data to obtain N-1 odd field data with different resolutions and performing N-1 times of down-sampling on the even field data to obtain N-1 even field data with different resolutions; combining odd field data and even field data with the same resolution to obtain a down-sampled image; and inputting the original video image and the down-sampled image to the de-interlacing network for de-interlacing.
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公开(公告)号：US11537849B2
公开(公告)日：2022-12-27
申请号：US16626302
申请日：2019-07-22
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Lijie Zhang , Pablo Navarre Michelini , Hanwen Liu
Abstract: A computer-implemented method of training a convolutional neural network configured to morph content features of an input image with style features of a style image is provided. The computer-implemented method includes selecting a training style image; extracting style features of the training style image; selecting a training content image; extracting content features of the training content image; processing the training content image through the convolutional neural network to generate a training output image including the content features of the training content image morphed with the style features of the training style image; extracting content features and style features of the training output image; computing a total loss; and tuning the convolutional neural network based on the total loss including a content loss, a style loss, and a regularization loss.
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