VR – Cyland Video Archive

Invisible Cities:

Darya Cherkashina — Wed, 09 Apr 2025 15:49:21 +0000

Invisible Cities: is a transdisciplinary collaborative mixed reality using motion capture technology. Initially showcased as a live performance, it is an artistic experiment that allows both artists and viewers to overcome spatial and temporal boundaries through merge of the real and virtual.

The project was organized to have artists of different genres (a writer, a media artist, a composer, and a choreographer) come together in a fashion similar to the surrealist game of ‘exquisite corpse’ allowing for each contribution to overlap those of others’ rather than adhering to an unidirectional output. Created against the backdrop of the turbulent socio-economic landscape during the COVID-19 pandemic, the surreal landscape of OPIM attempts to open up a new psychical horizon about a new world to come. It is a journey onto the alien nebula ‘Aldalbach’ in the collaborator Sim Na-wool’s story, ‘Virtual Love’, a virtual city built upon a phantasm beyond the graspable reality which unfolds in the work. is a virtual world that consists of imaginary subsistence.

anna kim_ OPIM_2021_VR_01 (1)

anna kim_ OPIM_2021_VR_02 (2) (1)

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To-do list

Darya Cherkashina — Tue, 24 Oct 2023 17:39:41 +0000

Sound: Vasya Filatova

In the ‘To-do list’ project, Nadezhda experiments with the “VR space as an art object” format. This is a variation on installation, created entirely in digital form and therefore allows the viewer to exist in it differently than in the physical world. What people experience in a physical space is a mental construct. And the digital space in this context is a continuation of the mental space. What, can the environment of their thoughts and experience — turned into a virtual place — tell us about the experience of another? Is it possible to find a way to communicate with another in the space of one’s perception of reality?

The project mixes the physical with the mental and sensory experience, creating a tangled digital architecture that the viewer can immerse themselves in with VR equipment and try to step into the artist’s shoes, in her experience.

Nadezhda Bey To-Do list_2021

Nadezhda Bey To-Do list_2021_4

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InsiDe

Darya Cherkashina — Wed, 20 May 2020 20:52:40 +0000

You are placed in a cube that represents being inside a neural net. The images on the walls are obtained from a neural network through feature visualization. This technique consists of iteratively tweaking neural network inputs to cause certain behavior. In AI research, feature visualization is used for interpreting neural networks decisions. The class probabilities come from the neural net named InceptionV1. This is a convolutional neural network, trained on Imagenet — a dataset of 14 million annotated images of everyday things. Normally it is used to classify images in one of 1000 classes. It turns out that the networks created for image classification have a surprising capacity for generating images, and the results are quite interesting visually. By reversing the original purpose of the network, Aizek (Michael Anoshenko) and Alg (Aleksandr Groznykh) take a look “inside the machine’s mind”. Their research is focused on understanding how a neural network forms concept of the world. By using feature visualization, one can obtain the “perfect version” of any concept, or its “AI ID”.

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