TY  - JOUR
TI  - A Neural Algorithm of Artistic Style (neural style transfer)
AU  - Gatys, L. A.
AU  - Ecker, A. S.
AU  - Bethge, M.
PY  - 2016
DA  - 2016///
JO  - CVPR 2016 (IEEE/CVF)
AB  - Gatys, Ecker and Bethge (2015/2016) showed that the Gram matrices of convolutional feature maps from a pretrained VGG network encode visual style, and that content and style can be independently recombined by optimising an image against both a content loss and a style loss. The result is an input photograph rendered in the visual idiom of any reference artwork without paired training examples. The paper founded the neural-style-transfer subfield, triggered a wave of commercial style-transfer apps, and remains the conceptual root of style conditioning in diffusion-era tools such as ControlNet and LoRA. It appears in nearly every creative-AI curriculum as the starting point for discussions of neural stylisation and AI-assisted artwork.
KW  - generative-ai
KW  - image-generation
KW  - studio-pedagogy
UR  - https://arxiv.org/abs/1508.06576
LA  - en
ER  -