论文标题
深冥想:潜在空间的控制导航
Deep Meditations: Controlled navigation of latent space
论文作者
论文摘要
我们介绍了一种方法,该方法使用户可以创造性地探索和浏览深层生成模型的广阔潜在空间。具体来说,我们的方法使用户能够在这些高维空间中\ textIt {discover {discover {distion} \ textit {trajectory},以构造故事并产生基于时间的媒体,例如视频 - \ textit {具有有意义的叙述控制}。我们的目标是鼓励和帮助使用深层生成模型作为具有有意义的人类控制的创造性表达和讲故事的媒介。我们的方法类似于传统的视频制作管道,因为我们使用带有代理夹的常规非线性视频编辑器,并符合潜在空间向量的阵列。可以在\ url {http://deepmeditations.ai}上看到示例。
We introduce a method which allows users to creatively explore and navigate the vast latent spaces of deep generative models. Specifically, our method enables users to \textit{discover} and \textit{design} \textit{trajectories} in these high dimensional spaces, to construct stories, and produce time-based media such as videos---\textit{with meaningful control over narrative}. Our goal is to encourage and aid the use of deep generative models as a medium for creative expression and story telling with meaningful human control. Our method is analogous to traditional video production pipelines in that we use a conventional non-linear video editor with proxy clips, and conform with arrays of latent space vectors. Examples can be seen at \url{http://deepmeditations.ai}.