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arXiv · 2108.09195

Towards Photorealistic Colorization by Imagination

Chenyang Lei·Yue Wu·Qifeng Chen
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Abstract

We present a novel approach to automatic image colorization by imitating the imagination process of human experts. Our imagination module is designed to generate color images that are context-correlated with black-and-white photos. Given a black-and-white image, our imagination module firstly extracts the context information, which is then used to synthesize colorful and diverse images using a conditional image synthesis network (e.g., semantic image synthesis model). We then design a colorization module to colorize the black-and-white images with the guidance of imagination for photorealistic colorization. Experimental results show that our work produces more colorful and diverse results than state-of-the-art image colorization methods. Our source codes will be publicly available.

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Chenyang Lei, Yue Wu, Qifeng Chen. 2021-08-20. Towards Photorealistic Colorization by Imagination. https://arxiv.org/abs/2108.09195

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