Vid2Pix - A Framework for Generating High-Quality Synthetic Videos

O. O. Nedrejord, Vajira Lasantha Thambawita, S. Hicks, P. Halvorsen, M. Riegler
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Abstract

Data is arguably the most important resource today as it fuels the algorithms powering services we use every day. However, in fields like medicine, publicly available datasets are few, and labeling medical datasets require tedious efforts from trained specialists. Generated synthetic data can be to future successful healthcare clinical intelligence. Here, we present a GAN-based video generator demonstrating promising results.
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Vid2Pix -一个生成高质量合成视频的框架
数据可以说是当今最重要的资源,因为它为我们每天使用的服务提供算法支持。然而,在医学等领域,公开可用的数据集很少,并且标记医疗数据集需要训练有素的专家进行繁琐的工作。生成的合成数据可以为未来成功的医疗保健提供临床智能。在这里,我们提出了一个基于gan的视频生成器,展示了有希望的结果。
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