Yusuke Kanakubo, Yoshifumi Sugiyama, Eriko Yoshida, Takuya Aoki, Rieko Mutai, Masato Matsushima, Tadao Okada
Development and validation of the Japanese version of the Lesbian, Gay, Bisexual, and Transgender Development of Clinical Skills Scale
PloS one
existing image inpainting methods achieved remarkable progress small image defects however repairing large missing regions insufficient context information still intractable problem paper multistage feature reasoning generative adversarial network gradually restore irregular holes proposed specifically dynamic partial convolution used adaptively adjust restoration proportion inpainting progress strengthens correlation valid invalid pixels decoding phase statistical natures features masked areas differentiate unmasked areas end novel decoder designed dynamically assigns scaling factor bias per feature point basis using pointwise normalization also utilizes skip connections solve problem information loss codec network layers moreover order eliminate gradient vanishing increase reasoning times hybrid weighted merging method consisting hard weight map soft weight map proposed ensemble feature maps generated whole reconstruction process experiments celeba places2 paris streetview show proposed model generates results psnr improvement 03 db 12 db compared methods