论文标题
无监督的HDR成像：从一个8位视频中可以学到什么？
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
论文作者
论文摘要
最近，基于深度学习的方法，用于获得高动态范围（HDR）图像的逆音标准动态范围（SDR）图像的方法变得非常流行。这些方法在细节和动态范围方面设法令人信服地填补了过度暴露的领域。通常，要有效，这些方法需要从大型数据集中学习，并将这些知识转移到网络权重。在这项工作中，我们从完全不同的角度解决了这个问题。我们可以从单个SDR视频中学到什么？通过呈现的零拍方法，我们表明，在许多情况下，单个SDR视频足以与其他最先进的方法生成相同质量或更好的HDR视频。
Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular. These methods manage to fill over-exposed areas convincingly both in terms of details and dynamic range. Typically, these methods, to be effective, need to learn from large datasets and to transfer this knowledge to the network weights. In this work, we tackle this problem from a completely different perspective. What can we learn from a single SDR video? With the presented zero-shot approach, we show that, in many cases, a single SDR video is sufficient to be able to generate an HDR video of the same quality or better than other state-of-the-art methods.
