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Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks
To realize consistent colorization, we propose here a semi-automatic colorization method based on generative adversarial networks (GAN); the method learns the painting style of a specific comic from small amount of training data.
Alternating Co-Quantization for Cross-Modal Hashing
This paper addresses the problem of unsupervised learning of binary hash codes for efficient cross-modal retrieval.
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