Category Archives: project
The AI Laocoön – text to image in The Drowned World project (2022)
The Drowned World project employs text-driven image synthesis to explore the ambiguous distinction the media introduces between imagination and virtuality. The machine learning technology in these explorations (VQGAN+CLIP) is an amalgamation of a generative adversarial network (VQGAN – Vector Quantized
The AI Laocoön – text to image in The Drowned World project (2022)
The Drowned World project employs text-driven image synthesis to explore the ambiguous distinction the media introduces between imagination and virtuality. The machine learning technology in these explorations (VQGAN+CLIP) is an amalgamation of a generative adversarial network (VQGAN – Vector Quantized
The Cargo Cult series (2020)
My image-making process—supposedly an internal and personal voyage—questions how much of creative intention is constituted through the unperceived external mediation of experience. Is the artist, as Kurt Vonnegut has suggested, “a canary in a coal mine,” an entity unstuck in
The Cargo Cult series (2020)
My image-making process—supposedly an internal and personal voyage—questions how much of creative intention is constituted through the unperceived external mediation of experience. Is the artist, as Kurt Vonnegut has suggested, “a canary in a coal mine,” an entity unstuck in
Mapping the latent space of neural media (2018)
“Neural media” emerges from deep learning image classification technology. These technologies, broadly construed, group information based on multi-dimensional statistical sampling to build high-level pattern descriptions of diverse input data. Defining information as recombinant patterns of levels of texture-structure enables that
Mapping the latent space of neural media (2018)
“Neural media” emerges from deep learning image classification technology. These technologies, broadly construed, group information based on multi-dimensional statistical sampling to build high-level pattern descriptions of diverse input data. Defining information as recombinant patterns of levels of texture-structure enables that
The Reflective Machine (2019)
The Reflective Machine engages with an image praxis I call neural painting—a method of using machine learning convolutional neural networks to algorithmically (and agonistically) manipulate and blend natural world derived style palettes with technical imagery I capture in my compositional
The Reflective Machine (2019)
The Reflective Machine engages with an image praxis I call neural painting—a method of using machine learning convolutional neural networks to algorithmically (and agonistically) manipulate and blend natural world derived style palettes with technical imagery I capture in my compositional
The Drowned World
The drowned world (2019), oil on board, 3 panels 24″ x 8″ each
[video] The Trance Machine (2019), presented at ICCV in Seoul (Korea).
The Trance Machine explores the liminal border between awareness and context. Starting from the idea that every image is a composition of successively smaller images, an ever-changing manifold of frames within frames, the artists’ vision holds a tacit conversation
[video] The Trance Machine (2019), presented at ICCV in Seoul (Korea).
The Trance Machine explores the liminal border between awareness and context. Starting from the idea that every image is a composition of successively smaller images, an ever-changing manifold of frames within frames, the artists’ vision holds a tacit conversation
When Schwitters Met Trump, (2017) is showing at ECCV in Munich, Germany
When Schwitters Met Trump, (2017) is showing at the European Conference on Computer Vision (ECCV, 2018) in Munich, Germany. The link to the work is here: https://computervisionart.com/pieces/when-schwitters-met-trump/. If you are interested in seeing more art work using deep learning there are other
When Schwitters Met Trump, (2017) is showing at ECCV in Munich, Germany
When Schwitters Met Trump, (2017) is showing at the European Conference on Computer Vision (ECCV, 2018) in Munich, Germany. The link to the work is here: https://computervisionart.com/pieces/when-schwitters-met-trump/. If you are interested in seeing more art work using deep learning there are other
[video] The Merz Variations no. 1 – “When Schwitters met Trump”
The Merz Variations (2018) are a series of neural network experiments in convolutional image blending. Using a combination of ‘style transfer’ and Deep Dream, the video slowly increments the influence of the Deep Dream algorithm on the blending of an
[video] The Merz Variations no. 1 – “When Schwitters met Trump”
The Merz Variations (2018) are a series of neural network experiments in convolutional image blending. Using a combination of ‘style transfer’ and Deep Dream, the video slowly increments the influence of the Deep Dream algorithm on the blending of an
“The Drowned World” series (2017)
“The Drowned World” series is an exploration of J. G. Ballard’s dystopian climate novel The Drowned World. Using AI style transfer technologies I explore this metaphor by blending the present with its potential transformation. The narrative of the drowned world
“The Drowned World” series (2017)
“The Drowned World” series is an exploration of J. G. Ballard’s dystopian climate novel The Drowned World. Using AI style transfer technologies I explore this metaphor by blending the present with its potential transformation. The narrative of the drowned world
When Schwitters Met Trump (in collaboration with Höch)
The Picture – Cut with the Kitchen Knife: Dada Through the Last Weimar Beer Belly Culture Epoch, digital collage, made in collaboration with DL, 2017 When Schwitters met Trump (in evolution)
When Schwitters Met Trump (in collaboration with Höch)
The Picture – Cut with the Kitchen Knife: Dada Through the Last Weimar Beer Belly Culture Epoch, digital collage, made in collaboration with DL, 2017 When Schwitters met Trump (in evolution)
Suk Kyoung Choi 