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Automatic Controllable Colorization via Imagination
April 9, 2024, 4:47 a.m. | Xiaoyan Cong, Yue Wu, Qifeng Chen, Chenyang Lei
cs.CV updates on arXiv.org arxiv.org
Abstract: We propose a framework for automatic colorization that allows for iterative editing and modifications. The core of our framework lies in an imagination module: by understanding the content within a grayscale image, we utilize a pre-trained image generation model to generate multiple images that contain the same content. These images serve as references for coloring, mimicking the process of human experts. As the synthesized images can be imperfect or different from the original grayscale image, …
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