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公开(公告)号:EP4369283A3
公开(公告)日:2024-06-05
申请号:EP23176811.0
申请日:2023-06-01
发明人: MOON, Jaeyoung , KANG, Nahyup , KIM, Hanjun , YU, Hyeonseung , LEE, Juyoung , JUNG, Hwiryong , HA, Inwoo , HONG, Seokpyo
IPC分类号: G06T3/4046 , G06T3/4053
CPC分类号: G06T3/4053 , G06T3/4046
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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公开(公告)号:EP4369283A2
公开(公告)日:2024-05-15
申请号:EP23176811.0
申请日:2023-06-01
发明人: MOON, Jaeyoung , KANG, Nahyup , KIM, Hanjun , YU, Hyeonseung , LEE, Juyoung , JUNG, Hwiryong , HA, Inwoo , HONG, Seokpyo
IPC分类号: G06T3/4046 , G06T3/4053
CPC分类号: G06T3/4053 , G06T3/4046
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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公开(公告)号:EP4432227A1
公开(公告)日:2024-09-18
申请号:EP23214854.4
申请日:2023-12-07
申请人: INTEL Corporation
IPC分类号: G06T7/269 , G06T1/20 , G06T3/4046 , G06T3/4053 , G06T5/60 , G06T5/70
CPC分类号: G06T7/269 , G06T2207/2008420130101 , G06T2207/2008120130101 , G06T3/4046 , G06T3/4053 , G06T5/70 , G06T5/60 , G06T2207/1002420130101 , G06T1/20
摘要: Described herein are techniques to enhance the user experience for 3D rendered applications via neural frame generation using upsampled optical flow data. In one embodiment, a neural network is trained using both sparse optical flow data and dense optical flow data to enable neural frame generation to be performed by a deployed neural network using only sparse optical flow data. The sparse optical flow data can be upsampled to dense optical flow data by the trained neural network. The neural network can then use the upsampled dense optical flow data to perform frame generation.
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公开(公告)号:EP4383184A3
公开(公告)日:2024-06-26
申请号:EP23217520.8
申请日:2020-07-08
IPC分类号: G06T3/4046 , G06T3/4053
CPC分类号: G06T3/4053 , G06T3/4046
摘要: A computer-implemented method is provided for processing images. The method comprises: down-sampling a plurality of first images having a first resolution for obtaining a plurality of second images having a second resolution, the first resolution being higher than the second resolution, each one of the plurality of second images being a down-sampled version of one of the plurality of first images; training an artificial neural network, ANN, model (40) to process an input image and output an output image having a higher resolution than the input image, wherein training data for the training comprises pairs of images, each pair of images including: one of the plurality of second images as an input to the ANN model (40); and one of the plurality of first images, corresponding to the one of the plurality of second images, as a desired output from the ANN model (40) in case the one of the plurality of second images is input to the ANN model (40); inputting at least one of the plurality of first images to the trained ANN model (40); and obtaining at least one output image from the trained ANN model (40), the at least one output image having a third resolution that is higher than the first resolution.
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公开(公告)号:EP4177824B1
公开(公告)日:2024-08-07
申请号:EP22199045.0
申请日:2022-09-30
IPC分类号: G06T3/4053 , G06T3/4046
CPC分类号: G06T3/4053 , G06T3/4046
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公开(公告)号:EP4372673A1
公开(公告)日:2024-05-22
申请号:EP23209198.3
申请日:2023-11-10
发明人: Kwon, Kinam , Kim, Heewon , Lee, Kyoung Mu , Lee, Hyong Euk
IPC分类号: G06T5/60 , G06T5/70 , G06T3/4046
CPC分类号: G06T2207/2008420130101 , G06T3/4046 , G06T5/60 , G06T5/70
摘要: A computer-implemented image processing method includes receiving an input image having a first resolution and a degradation characteristic and generating an output image based on the input image using a neural network model, where the output image has a second resolution that is lower than the first resolution, and where the neural network model is configured to apply the degradation characteristic of the input image to the output image.
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公开(公告)号:EP4414930A3
公开(公告)日:2024-10-23
申请号:EP24184661.7
申请日:2019-11-21
发明人: PARK, Seungho , MOON, Youngsu
IPC分类号: G06T5/60 , G06T3/4046
摘要: An electronic apparatus is disclosed. The electronic apparatus includes a memory storing at least one instruction, and a processor, electrically connected to the memory, configured to, by executing the instruction, obtain, from an input image, a noise map corresponding to the input image; provide the input image to an input layer of a learning network model including a plurality of layers, the learning network model being an artificial intelligence (AI) model that is obtained by learning, through an AI algorithm, a relationship between a plurality of sample images, a respective noise map of each of the plurality of sample images, and an original image corresponding to the plurality of sample images; provide the noise map to at least one intermediate layer among the plurality of layers; and obtain an output image based on a result from providing the input image and the noise map to the learning network model.
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公开(公告)号:EP3734546B1
公开(公告)日:2024-07-24
申请号:EP19210761.3
申请日:2019-11-21
IPC分类号: G06T3/4046 , G06T5/70
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公开(公告)号:EP4339877A1
公开(公告)日:2024-03-20
申请号:EP23183254.4
申请日:2023-07-04
发明人: JO, Younghyun , KI, Sehwan , KANG, Eunhee , LEE, Hyong Euk
IPC分类号: G06T3/4046 , G06T3/4053
摘要: Systems and methods for super-resolution (SR) are described. The SR method includes determining a direction type of an input image based on a gradient of the input image, obtaining a first intermediate image based on the direction type using a look-up table (LUT) that stores an SR operation result of a pixel value combination corresponding to a kernel set mapped to the determined direction type, wherein the first intermediate image is an SR image corresponding to the input image, applying SR interpolation to the input image to obtain a baseline image, and obtaining an output image based on the first intermediate image and the baseline image.
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公开(公告)号:EP4332876B1
公开(公告)日:2024-10-02
申请号:EP22192776.7
申请日:2022-08-30
IPC分类号: G06T3/4053 , G06T3/4046
CPC分类号: G06T3/4053 , G06T3/4046
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