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    VIDEO DEPTH ESTIMATION BASED ON TEMPORAL ATTENTION
    12.
    发明申请
    VIDEO DEPTH ESTIMATION BASED ON TEMPORAL ATTENTION 有权

    公开(公告)号：US20230116893A1

    公开(公告)日：2023-04-13

    申请号：US18080599

    申请日：2022-12-13

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Haoyu Ren ,  Mostafa El Khamy ,  Jungwon Lee

    IPC: G06T7/579 ,  G06T7/194

    Abstract: A method of depth detection based on a plurality of video frames includes receiving a plurality of input frames including a first input frame, a second input frame, and a third input frame respectively corresponding to different capture times, convolving the first to third input frames to generate a first feature map, a second feature map, and a third feature map corresponding to the different capture times, calculating a temporal attention map based on the first to third feature maps, the temporal attention map including a plurality of weights corresponding to different pairs of feature maps from among the first to third feature maps, each weight of the plurality of weights indicating a similarity level of a corresponding pair of feature maps, and applying the temporal attention map to the first to third feature maps to generate a feature map with temporal attention.

    Method and apparatus for video super resolution using convolutional neural network with two-stage motion compensation
    13.
    发明授权
    Method and apparatus for video super resolution using convolutional neural network with two-stage motion compensation 有权

    公开(公告)号：US11599979B2

    公开(公告)日：2023-03-07

    申请号：US16887511

    申请日：2020-05-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Mostafa El-Khamy ,  Haoyu Ren ,  Jungwon Lee

    IPC: G06T5/50 ,  G06K9/62 ,  G06T3/00 ,  G06T3/40 ,  G06V30/24

    Abstract: A method and an apparatus are provided. The method includes receiving a video with a first plurality of frames having a first resolution; generating a plurality of warped frames from the first plurality of frames based on a first type of motion compensation; generating a second plurality of frames having a second resolution, wherein the second resolution is of higher resolution than the first resolution, wherein each of the second plurality of frames having the second resolution is derived from a subset of the plurality of warped frames using a convolutional network; and generating a third plurality of frames having the second resolution based on a second type of motion compensation, wherein each of the third plurality of frames having the second resolution is derived from a fusing a subset of the second plurality of frames.

    SYSTEMS AND METHODS FOR IMAGE DENOISING USING DEEP CONVOLUTIONAL NETWORKS
    15.
    发明申请
    SYSTEMS AND METHODS FOR IMAGE DENOISING USING DEEP CONVOLUTIONAL NETWORKS 有权

    公开(公告)号：US20230043310A1

    公开(公告)日：2023-02-09

    申请号：US17972961

    申请日：2022-10-25

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Zengli Yang ,  Long Bao ,  Shuangquan Wang ,  Dongwoon Bai ,  Jungwon Lee

    IPC: G06T5/00 ,  G06T5/30 ,  G06T5/50 ,  G06N3/08 ,  G06N3/04

    Abstract: A method includes: computing noise data by subtracting, by a processing circuit, a noisy image from a corresponding ground truth image; clustering, by the processing circuit, a plurality of noise values of the noise data based on intensity values of the corresponding ground truth image; permuting, by the processing circuit, a plurality of locations of the noise values of the noise data within each cluster; generating, by the processing circuit, a synthetic noise image based on the permuted locations of the noise values; adding, by the processing circuit, the synthetic noise image to the corresponding ground truth image to generate a synthetic noisy image; and augmenting an image dataset for training a neural network to perform image denoising with the synthetic noisy image.

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