credits Concept, production and video: VOLNA
Engineering: Alexey Belyakov vnm
Mechanics: Viktor Smolensky
Camera/photo: Polina Korotaeva, VOLNA
Special thanks: William Cohen, Michael Gira, Igor Matveev, Alexander Nebozhin, Jason Strudler, Ivan Ustichenko, Artem Zotikov
Music: Swans – Lunacy
Project commissioned by Roots United for Present Perfect Festival 2019
© VOLNA (2019) © Swans ℗ 2012 Young God Records

More info: https://volna-media.com/projects/duel

The gloom ripples while something whispers,
Silence has set and coils like a ring,
Someone’s pale face glimmers
From a mire of venomous color,
And the sun, black as the night,
Takes its leave, absorbing the light.

M. Voloshin

Watch on Vimeo

http://everyoneishappy.com
https://www.instagram.com/everyoneishappy/
Bit of a playful project investigating real-time generation of singing anime characters, a neural mashup if you will.

All of the animation is made in real-time using a StyleGan neural network trained on the Danbooru2018 dataset, a large scale anime image database with 3.33m+ images annotated with 99.7m+ tags.

Lyrics were produced with GPT-2, a large scale language model trained on 40GB of internet text. I used the recently released 345 million parameter version- the full model has 1.5 billion parameters, and has currently not been released due to concerns about malicious use (think fake news).

Music was made in part using models from Magenta, a research project exploring the role of machine learning in the process of creating art and music.

Setup is using vvvv, Python and Ableton Live.

StyleGan, Danbooru2018, GPT-2 and Magenta were developed by Nvidia, gwern.net/Danbooru2018, OpenAI and Google respectively.

credits Kyle McLean

Waifu Synthesis- real time generative anime

Bit of a playful project investigating real-time generation of singing anime characters, a neural mashup if you will.

All of the animation is made in real-time using a StyleGan neural network trained on the Danbooru2018 dataset, a large scale anime image database with 3.33m+ images annotated with 99.7m+ tags.

Lyrics were produced with GPT-2, a large scale language model trained on 40GB of internet text. I used the recently released 345 million parameter version- the full model has 1.5 billion parameters, and has currently not been released due to concerns about malicious use (think fake news).

Music was made in part using models from Magenta, a research project exploring the role of machine learning in the process of creating art and music.

Setup is using vvvv, Python and Ableton Live.
everyoneishappy.cominstagram.com/everyoneishappy/

StyleGan, Danbooru2018, GPT-2 and Magenta were developed by Nvidia,gwern.net/Danbooru2018, OpenAI and Google respectively.

made with vvvv,
by
Paul Schengber
Emma Chapuy
Felix Deufel

.inf is an abstract and constantly changing visualization of data, taken in real-time from current weather situations on earth.
Incoming data like humidity, temperature, atmospheric pressure, wind speed, wind direction and cloudiness at a special location causes change of the position, speed, lighting and colouring of two million virtual points, floating inside a three dimensional space.
Atmospheric noise, which is taken through online radio transmission is used for the sound synthesis. This data, taken in real-time, switches randomly between different places and their existing weather situations on earth.
This causes unpredictable images.
Every frame of the resulting image and representation of the sound is unique and not reproducible.
High differences in the values, by switching randomly between different current weather situations of specific locations can trigger interrupting events, phases and flickering effects in the image and sound.
The endless generative visual and sound patterns in which one can easily lose themself, leaves the viewers and listeners with a different perception of time and a third person view.