Samsung Electronics Co., Ltd.

Mahesh P J

Pavan Sudheendra

Manoj Kumar

Narasimha Gopalakrishna Pai

Pankaj Kumar Bajpai

Chevuru Sai Jaswanth

Prasanna Vishnu Bondada

Kunal Swami

Prityush Chandra

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.

Method and system for generation of a plurality of portrait effects in an electronic device

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.

Methods and systems for performing tasks on media using attribute specific joint learning

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Bengaluru, India

Mahesh P J