Autoencoding Blade Runner: Reconstructing Films with Artificial Neural Networks
Autoencoding Blade Runner: Reconstructing Films with Artificial Neural Networks
复制标题
DOI：
10.1162/leon_a_01455
复制
发表时间：
2017-08-01
期刊：
影响因子：
0.3
通讯作者：
Grierson, Mick
中科院分区：
文献类型：
--
作者：
Broad, Terence;Grierson, Mick
在这篇文章中，作者解释了他们是如何创造出《银翼杀手》的，这是一部通过训练自动编码器(一种生成性神经网络)来从电影《银翼杀手》中重建帧的电影。自动编码器被用来重新解释每一帧，并根据它对电影的记忆重建它。其结果是一个模糊的，梦幻般的版本的原始电影。作者们讨论了该项目如何探索神经网络的非实体凝视的美学品质，并描述了自动编码器如何也能够重新解读它没有接受过训练的电影，传递它从观看《银翼杀手》(1982)中学到的视觉风格。
In this paper, the authors explain how they created Blade Runner-Autoencoded, a film made by training an autoencoder-a type of generative neural network-to recreate frames from the film Blade Runner. The autoencoder is made to reinterpret every individual frame, reconstructing it based on its memory of the film. The result is a hazy, dreamlike version of the original film. The authors discuss how the project explores the aesthetic qualities of the disembodied gaze of the neural network and describe how the autoencoder is also capable of reinterpreting films it has not been trained on, transferring the visual style it has learned from watching Blade Runner (1982).