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公开(公告)号:US20240193727A1
公开(公告)日:2024-06-13
申请号:US18332939
申请日:2023-06-12
发明人: Hyeonseung YU , Nahyup KANG , Hanjun KIM , Jaeyoung MOON , Juyoung LEE , Hwiryong JUNG , Inwoo HA , Seokpyo HONG
IPC分类号: G06T3/40 , G06T3/00 , G06T7/50 , G06T7/90 , G06V10/764
CPC分类号: G06T3/4053 , G06T3/0093 , G06T7/50 , G06T7/90 , G06V10/764 , G06T2207/10024 , G06V2201/07
摘要: A processor implemented method includes generating a semantic map indicating a visualization property assigned to an object of an obtained frame image having a first resolution and generating a reconstruction image using an image reconstruction machine learning model provided input based on the obtained frame image and the semantic map having a second resolution and including a second object having a visualization property indicated by the semantic map.
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公开(公告)号:US20230236545A1
公开(公告)日:2023-07-27
申请号:US17885327
申请日:2022-08-10
发明人: Hyeonseung YU , Sung-Wook MIN , Youngrok KIM , Wontaek SEO , Daeho YANG , Hongseok LEE
CPC分类号: G03H1/2249 , G03H1/0005 , G03H1/0402 , G03H2001/2281 , G03H2226/02 , G03H2001/0436
摘要: Provided is a holographic image processing apparatus including a memory configured to store at least one instruction, and a processor configured to execute the at least one instruction stored in the memory to generate a corrected holographic image by correcting an original holographic image captured by a holographic camera based on a neural network configured to learn hologram correction in advance.
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公开(公告)号:US20230236544A1
公开(公告)日:2023-07-27
申请号:US17885258
申请日:2022-08-10
发明人: Hyeonseung YU , Daeho YANG , Hongseok LEE , Wontaek SEO
CPC分类号: G03H1/2202 , G06T7/50 , G02B30/00 , G06T2207/20081 , G06T2207/20084 , G06T2207/10024 , G03H2226/02 , G03H2225/30
摘要: A method of modulating a depth of a hologram, the method includes: obtaining hologram data; determining a scale factor based on a hardware specification of a holographic display to display a three-dimensional (3D) hologram image in a space by using the hologram data; and modulating depth information of the hologram data based on the scale factor.
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公开(公告)号:US20150131104A1
公开(公告)日:2015-05-14
申请号:US14469692
申请日:2014-08-27
发明人: Jae-guyn LIM , Jae-duck JANG , YongKeun PARK , Hyeonseung YU , Woo-young JANG
IPC分类号: G01B9/02
CPC分类号: G01B9/02084 , G01B9/02083 , G01B9/02091
摘要: Provided are a tomography image generating method and an apparatus for generating a tomography image. The method of generating a tomography image includes, in response to a depth scan operation performed on an object, generating a candidate tomography image by using an interference signal acquired by the performed depth scan operation, determining a pixel pattern by using the generated candidate tomography image; and when the depth scan operation performed on the object is completed, generating a final tomography image of the object by using a finally determined pixel pattern. The generating the candidate tomography image and the determining are parallel processed by at least one processor during the depth scan operation being repeatedly performed.
摘要翻译: 提供了一种断层摄影图像生成方法和用于产生断层摄影图像的装置。 生成断层摄影图像的方法包括响应于对物体进行的深度扫描操作,通过使用由所执行的深度扫描操作获取的干涉信号来生成候选断层摄影图像,通过使用所生成的候选层析成像图像来确定像素图案 ; 并且当对物体进行深度扫描操作完成时,通过使用最终确定的像素图案来生成对象的最终断层图像。 在重复执行深度扫描操作期间,生成候选断层摄影图像和确定由至少一个处理器并行处理。
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公开(公告)号:US20240249383A1
公开(公告)日:2024-07-25
申请号:US18351963
申请日:2023-07-13
发明人: Seokpyo HONG , Nahyup KANG , Hanjun KIM , Jaeyoung MOON , Hyeonseung YU , Juyoung LEE , Hwiryong JUNG , Inwoo HA
CPC分类号: G06T3/4053 , G06T3/0093 , G06T3/4046
摘要: A method includes: inserting new pixels between original pixels for each of maps included in a first geometry buffer (or G-buffer) generated from a frame, wherein the maps represent geometric information of a three-dimensional (3D) model of an object included in the frame; generating a second G-buffer by setting values of the new pixels using a motion vector map that may be one of the maps; generating a third G-buffer by combining, with the second G-buffer, a result of updating only values of pixels masked based on an output of a pixel masking neural network to which the second G-buffer may be input; generating a fourth G-buffer by updating values of pixels by inputting the third G-buffer to a G-buffer reconstruction neural network; and update, based on the fourth G-buffer, the resolution of a subsequent frame that follows the frame.
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公开(公告)号:US20240169482A1
公开(公告)日:2024-05-23
申请号:US18323024
申请日:2023-05-24
发明人: Nahyup KANG , Hanjun KIM , Jaeyoung MOON , Hyeonseung YU , Juyoung LEE , Hwiryong JUNG , Inwoo HA , Seokpyo HONG
CPC分类号: G06T3/4046 , G06N3/045 , G06N3/08 , G06T3/0093 , G06T3/4007
摘要: An electronic device includes a memory for storing a first neural network and a second neural network including a plurality of residual blocks and an upscaling block, and a processor for selecting a residual block from among the plurality of residual blocks for an input patch image of a first frame based on the second neural network and generating an output patch image of the first frame by upscaling the input patch image of the first frame to an image having a target resolution based on the selected residual block and the upscaling block.
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公开(公告)号:US20240320793A1
公开(公告)日:2024-09-26
申请号:US18541424
申请日:2023-12-15
发明人: Hyeonseung YU , Jaeyoung MOON , Inwoo HA , Nahyup KANG
IPC分类号: G06T5/50 , G06T3/18 , G06T3/4046 , G06T3/4053 , G06T5/90 , G06T7/20
CPC分类号: G06T5/50 , G06T3/18 , G06T3/4046 , G06T3/4053 , G06T5/90 , G06T7/20 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221
摘要: A processor-implemented method including merging a first super-sampled image frame, having been generated at a first time point, with a second input image frame corresponding to a super-sampling target for a second time point to generate a merged image and generating a second super-sampled image frame by performing a super-sampling operation at the second time point that includes increasing a bit-precision of a result of an executing, by the processor, of a super-sampling neural network model provided a decreased bit precision of the merged image.
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公开(公告)号:US20240212089A1
公开(公告)日:2024-06-27
申请号:US18528979
申请日:2023-12-05
发明人: Inwoo HA , Nahyup KANG , Hyeonseung YU
CPC分类号: G06T3/0093 , G06T3/4053 , G06T5/002 , G06T15/06 , G06T2207/20084
摘要: A method and apparatus with image processing is provided. The processor-implemented method includes generating a warped image frame by warping a first reconstructed image frame of a first time point based on first change data corresponding to a change between first rendered image frame of the first time point and second rendered image frame of a second time point that is different from the first time point; generating, using a neural reconstruction model based on the second rendered image frame and the warped image frame, a confidence map representing a second reconstructed image frame of the second time point and confidence scores of pixels of the second reconstructed image frame; and generating a third rendered image frame of a third time point, different from the first and second time points, by ray tracing for each of plural pixels of the third rendered image frame based on the confidence map.
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公开(公告)号:US20240161236A1
公开(公告)日:2024-05-16
申请号:US18316120
申请日:2023-05-11
发明人: Hwiryong JUNG , Nahyup KANG , Hanjun KIM , Jaeyoung MOON , Hyeonseung YU , Juyoung LEE , Inwoo HA , Seokpyo HONG
CPC分类号: G06T3/4053 , G06T7/248 , G06V10/7515
摘要: An adaptive super sampling method includes: rendering frames of a three-dimensional (3D) model, the frames including a current frame and a previous frame preceding the current frame; determining motion vectors indicating a correspondence relationship between pixels in the current frame and pixels in the previous frame; generating a geometric identifier maps (G-ID maps) respectively corresponding to the current frame and the previous frame based on 3D geometrical properties associated with the pixels in the current frame and the previous frame; based on the motion vectors and the G-ID maps, generating an artifact map predicting where artifacts will occur from inter-frame super sampling of the current frame; and performing adaptive super sampling on the current frame based on the artifact map.
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公开(公告)号:US20240161233A1
公开(公告)日:2024-05-16
申请号:US18303210
申请日:2023-04-19
发明人: Jaeyoung MOON , Nahyup KANG , Hanjun KIM , Hyeonseung YU , Juyoung LEE , Hwiryong JUNG , Inwoo HA , Seokpyo HONG
CPC分类号: G06T3/4046 , G06T3/0093 , G06T5/002 , G06T5/005 , G06T5/50 , G06T7/20 , G06T2200/04 , G06T2207/20021 , G06T2207/20084
摘要: A supersampling method and apparatus are provided. The method includes: receiving a low-resolution three-dimensional (3D) image comprising a current frame and receiving a previous frame preceding the current frame; generating a low-resolution partial image by repeatedly sampling sub-pixel regions of the current frame; warping a high-resolution image, of the previous frame, which has been outputted from a neural network, to a current view corresponding to the current frame; replacing a partial region of the warped high-resolution image of the previous frame with image data from the low-resolution partial image; and generating a high-resolution image of the current frame by applying the high-resolution image of the previous frame, in which the partial region has been replaced, to the neural network.
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