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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：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：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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