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In this paper, we introduce a new variational model for color image restoration, called DIP-VBTV, which combines two priors: a deep image prior (DIP), which assumes that the restored image can be generated through a neural network, and a vector bundle total variation (VBTV), which generalizes the vectorial total variation (VTV) on vector bundles.

2024年12月19日 · The VBTV crew goes behind the scenes in Mrs. Lacey's AP Art class, exploring the creative process and the unique challenges faced by these talented young artists. Through interviews with Mrs....

在本文中，我们引入了一种新的彩色图像恢复变分模型，称为 dip-vbtv，它结合了两个先验：深度图像先验 (dip)，它假设可以通过神经网络生成恢复的图像，以及向量束总变异 (vbtv)，它概括了矢量束上的矢量总变异 (vtv)。

2021年7月20日 · In this paper, we introduce a new variational model for color image restoration, called DIP-VBTV, which combines two priors: a deep image prior (DIP), which assumes that the restored image can be...

2022年7月9日 · 本文提出了一种彩色图像复原的变分模型dip-vbtv，该变分模型结合了由几何三元组确定的矢量束总变分(vbtv)和由神经网络确定的深度图像先验(dip)两种先验。

In this paper, we introduce a new variational model for color image restoration, called DIP-VBTV, which combines two priors: a deep image prior (DIP), which assumes that the restored image can be generated through a neural network and a Vector Bundle Total Variation (VBTV) which generalizes the Vectorial Total Variation (VTV) on vector bundles.

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