Image Inpainting for Irregular Holes Using Partial Convolutions

ECCV 2018 Guilin LiuFitsum A. RedaKevin J. ShihTing-Chun WangAndrew TaoBryan Catanzaro

Existing deep learning based image inpainting methods use a standard convolutional network over the corrupted image, using convolutional filter responses conditioned on both valid pixels as well as the substitute values in the masked holes (typically the mean value). This often leads to artifacts such as color discrepancy and blurriness... (read more)

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