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Overview of our model for automatic colorization ...
The grayscale images represent only the intensity information of the light from the darkest black to the brightest white and which can later be colorized. But ... ...(以下省略)
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由 R Sarapu 著作 · 2021 · 被引用 1 次 — In[11], a fully automated grayscale image colorization method based on neural net...
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Colorization of grayscale images is a simple task for the human imagination. Researchers from the Toyota Technological I...
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由 A Sousa 著作 · 被引用 17 次 — Subsequently, colorizing a grayscale image consists of (a) extracting the same set of feat...
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由 J Fan 著作 · 被引用 1 次 — [25] used conditional generative adversarial networks (cGANs) to color grayscale images witho...
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由 S Liu 著作 · 2012 · 被引用 54 次 — Colorization aims to adding colors to a grayscale image. This task is ill-posed in ...
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We learn to automatically color grayscale images with a deep network. Our network learns both local features and global ...
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由 I Žeger 著作 · 2021 · 被引用 43 次 — Colorization is a process of converting grayscale images into visually acceptable...
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由 C Liang 著作 · 2024 — Automatic colorization of grayscale image has been a challenging task. Previous research have ...
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The grayscale images represent only the intensity information of the light from the darkest black to the brightest white...
automatic grayscale image colorization 參考影音
繼續努力蒐集當中...