IMAGE IN-PAINTING FOR IRREGULAR HOLES USING PARTIAL CONVOLUTIONS

    公开(公告)号:US20190295228A1

    公开(公告)日:2019-09-26

    申请号:US16360895

    申请日:2019-03-21

    Abstract: A neural network architecture is disclosed for performing image in-painting using partial convolution operations. The neural network processes an image and a corresponding mask that identifies holes in the image utilizing partial convolution operations, where the mask is used by the partial convolution operation to zero out coefficients of the convolution kernel corresponding to invalid pixel data for the holes. The mask is updated after each partial convolution operation is performed in an encoder section of the neural network. In one embodiment, the neural network is implemented using an encoder-decoder framework with skip links to forward representations of the features at different sections of the encoder to corresponding sections of the decoder.

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