DeepDream

ディープドリーム / 2015– / 技法 / 数字艺术

Google's visualization technique repeatedly amplifies features learned by an image-recognition network, making eyes, animals and towers emerge excessively from clouds, rocks and leaves until misrecognition becomes a recursive hallucinatory surface.

Eyes and animal faces repeated across the frame / Swirling texture multiplying along source contours / Multi-scale repetition that reveals new figures when viewed closer / Saturated blue, yellow and violet rolling continuously

DeepDream — AI 生成的诠释图像 — AI 生成的诠释图像（并非参考作品）

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适用场景: Exhibits and critical images that make machine misrecognition immediately visible；Music video and cover imagery that keeps a source landscape beneath a multi-scale hallucination
字体: Add type after processing, keeping it short, bold and simple enough not to fight the detail.
版面: Preserve the source's large composition and amplify related features at several scales to create recursion into depth.
材料: Choose layers in a trained vision model and iteratively increase their activation through gradient ascent.
注意: It is not a swirl filter or pasted dog faces. Preserve which layer and feature were amplified and how they bind to the source.
延伸阅读: Feature visualization and layer selection / Iterative zoom and octave scales / GoogLeNet ImageNet feature bias

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