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公开(公告)号:US12272065B2
公开(公告)日:2025-04-08
申请号:US17723767
申请日:2022-04-19
Inventor: Gyu Sang Choi , Hyun Kwang Shin
IPC: G06T7/10
Abstract: An apparatus for image segmentation according to an embodiment includes an acquirer configured to acquire one or more images in which an object is photographed and a segmentation performer configured to perform segmentation on the one or more images using a segmentation model which is deep learned through a plurality of images, in which the segmentation model is a U-Net-based model including a first type module based on depth-wise separable convolution (DSC) and a second type module based on global context network (GCNet).
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公开(公告)号:US11568647B2
公开(公告)日:2023-01-31
申请号:US17084877
申请日:2020-10-30
Inventor: Gyu Sang Choi , Jong Ho Han , Hyun Kwang Shin
Abstract: A learning apparatus for creating an emotion expression video according to an embodiment disclosed include first generative adversarial networks (GAN) that receive text for creating an emotion expression video, extract vector information by performing embedding on the input text, and create an image based on the extracted vector information, and second generative adversarial networks that receive an emotion expression image and a frame of comparison video, and create a frame of emotion expression video from the emotion expression image and the frame of comparison video.
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公开(公告)号:US20190034417A1
公开(公告)日:2019-01-31
申请号:US16080891
申请日:2018-01-15
Inventor: Byung Won On , Gyu Sang Choi , Hyun Kwang Shin
Abstract: A method for analyzing digital contents is disclosed. According to an embodiment, a plurality of information sources are extracted from digital contents associated with a specific topic, an information source network is created on the basis of the plurality of information sources, and at least one of quantitative and qualitative analyses for the corresponding topic is performed on the basis of the information source network.
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4.
公开(公告)号:US11869129B2
公开(公告)日:2024-01-09
申请号:US18027326
申请日:2021-09-29
Inventor: Gyu Sang Choi , Jong Ho Han , Hyun Kwang Shin
CPC classification number: G06T11/60 , G06F40/30 , G06T5/50 , G06T7/49 , G06T2207/20081 , G06T2207/20084 , G06T2210/61 , G06V10/469 , G06V30/10
Abstract: A learning apparatus for image generation includes a preprocessing module configured to receive text for image generation and generate a sentence feature vector and a word feature vector from the received text, a first generative adversarial network (GAN) configured to receive the sentence feature vector from the preprocessing module and generate an initial image based on the received sentence feature vector, and a second generative adversarial network configured to receive the word feature vector generated by the preprocessing module and the initial image generated by the first generative adversarial network and generate a final image based on the word feature vector and the initial image.
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