Towards Photorealistic Colorization by Imagination

• URL: http://arxiv.org/abs/2108.09195v1
• Date: Fri, 20 Aug 2021 14:28:37 GMT
• Title: Towards Photorealistic Colorization by Imagination
• Authors: Chenyang Lei and Yue Wu and Qifeng Chen
• Abstract summary: We present a novel approach to automatic image colorization by imitating the imagination process of human experts. Our work produces more colorful and diverse results than state-of-the-art image colorization methods.
• Score: 48.82757902812846
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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