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Inpainting of Vintage Films Based on Variational Auto-encoder

机译:基于变分式自动编码器的复古胶片修复

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There are many existing video restoration frameworks, but there are no professional methods to deal with multiple degradation restorations of vintage films. With the help of the idea of mapping, this paper constructs a model with two variational autoencoders to repair the complex degradation problem. In addition, convolutional LSTM is used for video de-flicker processing to obtain smoother and natural results. The experimental results prove that this method can repair different damages in the vintage films screen at the same time, and achieve good results.
机译:有许多现有的视频恢复框架,但没有专业的方法来处理复古电影的多重降级修复。 在映射的帮助下,本文构造了一种模型,具有两个变形式自动泊位,以修复复杂的劣化问题。 此外,卷积LSTM用于视频去闪烁处理,以获得更光滑和自然结果。 实验结果证明,这种方法可以同时修复复古胶片屏幕中的不同损坏,并达到良好的效果。

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