A nearest-neighbor latent initialization plus temporal reuse of the latent code cuts unsupervised GAN inpainting cost by about 5x on images and 80x on coherent video while roughly matching or slightly improving quality.
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Faster Unsupervised Semantic Inpainting: A GAN Based Approach
A nearest-neighbor latent initialization plus temporal reuse of the latent code cuts unsupervised GAN inpainting cost by about 5x on images and 80x on coherent video while roughly matching or slightly improving quality.