Milkorva

France

Nicolas MICHEL (aka Milkorva) is a french visual artist and live performer based in Paris. Holding a master’s degree in Contemporary Art (Sorbonne, Paris), he has been specialized in and has worked with generative visual creation for several years. Collaborating with his longtime friend Valentin Fayaud, they co-founded TS/CN in 2020, a digital creative studio focused on designing audiovisual installations and performances (A/V).

Persistently exploring the connection between the abstract and the figurative through computational means, the artist redefines the role of technology at the core of the production process. The computer dialogue becomes generative and transcends the initial embryo. Milkorva’s work isn’t confined by time or exhibition space. Its constant evolution offers observers the chance to partake in a distinctive, personal, and renewable encounter.


Milkorva_Generative_art.jpg

PERCUSSIVE DISPLACEMENT

Percussive Displacement is generative digital sculpture.

The project is based on the creation of autonomous audio and video programs that interact with each other to feed themselves. Each work created is the result of a deep correlation between its two mediums.

A hybrid material is formed and distorted itself in contact with the sound, generating immersive and hypnotic digital landscapes. Then each new visual texture is altering the different layers of sound already present in the composition. The audio fragments, and the sound synthesis dialogue with different video languages (2D, 3D, synthesis, noise generator) using data. The result is a vast nodal environment, where each parameter is connected to another, comparable to a neural network.

It is no longer clear who the initial composition, the image, the sound or a third party; the only thing that stays is a communication where content is developed and reproduced endlessly. These computer-generated installations propose to reconcile the figurative and the abstract, the symbolic and the conceptual. Each piece has physical similarities with the real world (impression of smoke, fire, waterfall, waves, etc.). By recapturing the proposals of the computer, the duo explores the relationship between a real representation of a substance and its digital simulation. They play with the reference points and codes of the spectator. The virtual environment disrupts the forms, volumes and spaces.

Sound composition : Valentin Fayaud

technique

generative art

format

landscape

duration

04:00

year

2022

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Generative art
Generative art refers to a way of creating artworks using an autonomous system. In digital art, these are usually generated from code and algorithms created by the artist, often with certain predefined parameters or systems. Although these parameters guide the final outcome of the work, generative art is generally a surprising way to create artworks, as the results are often unexpected and the number of possible outcomes can be infinite.
AI
AI art is a branch of generative art that uses artificial intelligence. Unlike other generative artworks, AI artworks use specific complex algorithms and models derived from machine learning. The most common methods for creating AI art today are GANs (generative adversarial networks) or proprietary prompting platforms such as ChatGPT, Sora, Midjourney, or Dall-e.
3D
3D art uses 3D software such as Blender, Cinema4D, Houdini, or video game software such as Unity to create works of art. In 3D works, artists can either arrange assets (the 'objects' in a 3D artwork or world) that they have created themselves or purchased from other creators to create elaborate environments and scenes (an approach to 3D art called 'set dressing'), or specialize in sculpting, which involves creating their own objects and assets.
Photogrammetry
Photogrammetry is a specialized 3D technique that allows 3D objects to be created from numerous photographs taken of an object or scene from multiple angles. These photos are then compiled to determine the specific positioning, shape, and dimensions of the object in space, and then converted into a 3D model. Initially developed for engineering and urban planning, photogrammetry has become a way for artists to produce extremely accurate 3D models from real-life images.
Collage
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Video
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