公开(公告)号：US11790228B2

公开(公告)日：2023-10-17

申请号：US17154580

申请日：2021-01-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kunal Swami ,  Prasanna Vishnu Bondada ,  Pankaj Kumar Bajpai ,  Mahesh P J ,  Manoj Kumar

IPC: G06N3/08 ,  G06V20/40 ,  G06F18/214 ,  G06V10/82 ,  G06T7/50 ,  G06V10/772 ,  G06V10/774

CPC classification number: G06N3/08 ,  G06F18/2155 ,  G06T7/50 ,  G06V10/772 ,  G06V10/7753 ,  G06V10/82 ,  G06V20/41

Abstract: A learning-based model is trained using a plurality of attributes of media. Depth estimation is performed using the learning-based model. The depth estimation supports performing a computer vision task on the media. Attributes used in the depth estimation include scene understanding, depth correctness, and processing of sharp edges and gaps. The media may be processed to perform media restoration or the media quality enhancement. A computer vision task may include semantic segmentation.

公开(公告)号：US20240031512A1

公开(公告)日：2024-01-25

申请号：US18450630

申请日：2023-08-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Mahesh P J ,  Pavan SUDHEENDRA ,  Narasimha Gopalakrishna PAI ,  Prityush CHANDRA ,  Chevuru SAI JASWANTH

IPC: H04N5/262 ,  G06T9/00 ,  H04N23/959 ,  G06T7/10

CPC classification number: H04N5/2621 ,  G06T9/00 ,  H04N23/959 ,  G06T7/10 ,  G06T2207/20084 ,  G06T2207/10024

Abstract: A method and a system for generation of a plurality of portrait effects in an electronic device are provided. The method includes feeding an image captured from the electronic device into an encoder pre-learned using a plurality of features corresponding to the plurality of portrait effects and extracting, using the encoder, at least one of one or more low level features and one or more high level features from the image. The method includes generating, for the image, one or more first portrait effects of the plurality of portrait effects by passing the image through one or more first decoders. The method includes generating, for the image, one or more second portrait effects of the plurality of portrait effects by passing the image through one or more second decoders, wherein each of the one or more first portrait effect, and the one or more second portrait effects is generated in a single inference.