Panel Conversation: Artistic Process and Generative Art

Panel Conversation: Artistic Process and Generative Art

Panel Conversation: Artistic Process and Generative Art

4 years ago

Moderated by artnome, this panel explores the artistic process behind generative and AI art with three leading artists, Helena SarinDavid Young, and Alexander Reben. The goal is to help collectors and potential collectors to develop a more nuanced understanding of how decisions around tools and process ultimately shape the work they share with the world.

28

SuperRare

SuperRare is a marketplace to collect and trade unique, single-edition digital artworks.

Art

Tech

Curators' Choice

SuperRare Generative and AI Art Week

SuperRare Generative and AI Art Week

SuperRare Generative and AI Art Week

4 years ago

SuperRare Generative & AI Art Week (Sep 7-10th) introduces you the best generative & AI artists on our platform. The event features more than 30 articles, interviews, studio visits, panels and multimedia projects from 20 generative & AI digital/crypto artists from SuperRare. We aim to provide you an in-depth understanding of the artistic/technical process and the stories behind each artists and their art projects.

Strength, Solitude
Edition 1 of 1
Separation from nature. Coded with JavaScript. 1800×1200. GIF. 21.5MB.

Virtual Exhibition

Articles

Interviews

Studio Visits

Panels

Generative Art Week: Panel Conversation with 4 Female Artists
Moderated by Kate Vass with Sofia Crespo, Anna Ridler, Helena Sarin and Anne Spalter. Generative female artists in the conversation about gender diversity, pricing and valuation of female art in digital art market.

Panel Conversation: Artistic Process and Generative Art
Moderated by artnome, this panel explores the artistic process behind generative and AI art with three leading artists, Helena Sarin, David Young, and Alexander Reben. The goal is to help collectors and potential collectors to develop a more nuanced understanding of how decisions around tools and process ultimately shape the work they share with the world.

28

SuperRare

SuperRare is a marketplace to collect and trade unique, single-edition digital artworks.

Art

Tech

Curators' Choice

An Introduction to Artist Helena Sarin from Artnome

An Introduction to Artist Helena Sarin from Artnome

We are excited to welcome the artist Helena Sarin, known as @Glagolista on SuperRare, to our platform.

An Introduction to Artist Helena Sarin from Artnome

4 years ago

Vsual artist and software engineer, Helena Sarin has always been working with cutting edge technologies, first at Bell Labs, designing commercial communication systems, and for the last few years as an independent consultant, developing computer vision software using deep learning. While she has always worked in tech, Helena has been doing commission work in watercolor and pastel as well as in the applied arts like fashion, food and drink styling and photography.
But art and software ran as parallel tracks in her life, all her art being analog… until she discovered GANs (Generative Adversarial Networks). Since then generative models became her primary medium.
She is a frequent speaker at ML/AI conferences, for the past year delivering invited talks at MIT, Library of Congress and Capitol One.
Her artwork was exhibited at AI Art exhibitions in Zurich, Dubai, Oxford, Shanghai and Miami, and was featured in number of publications including the Jan 2020 issue of “Art In America” magazine.

Moda GANstrakta: the admission ticket
Edition 1 of 1
live fashion drawing , GAN chained a little bit
AIArt #GAN #generativeart

With pretty much all of her 2020 exhibitions and talks cancelled or postponed until 2021,

Helena is using this time of lockdown as an opportunity to work on a few artists books, each featuring her AI artwork.

In 2018 art curator and long time SuperRare art collector Jason Bailey published Sarin’s seminal essay “NeuralBricolage” along with his analysis of Sarin’s work his post “Helena Sarin: Why Bigger Isn’t Always Better With GANs And AI Art” on Artnome. The post has now been read tens of thousands of times and Bailey has agreed to share an excerpt from the foreward for that article with SuperRare community below.

AI art using GANs (generative adversarial networks) is new enough that the art world does not understand it well enough to evaluate it. We saw this unfold in 2018 when the French artists’ collective Obvious stumbled into selling their very first AI artwork for $450K at Christie’s.

Many in the AI art community took issue with Christie’s selecting Obvious because they felt there are so many other artists who have been working far longer in the medium and who are more technically and artistically accomplished, artists who have given back to the community and helped to expand the genre. Artists like Helena Sarin.

Chairwoman, Variations on Masters
Edition 1 of 1

Sarin was born in Moscow and went to college for computer science at Moscow Civil Engineering University. She lived in Israel for several years and then settled in the US. While she has always worked in tech, she has moonlighted in the applied arts like fashion and food styling. She has played with marrying her interests in programming and art in the past, even taking a Processing class with Casey Reas, Processing felt a little too much like her day job as a developer. Then two years ago, she landed a gig with a transportation company doing deep learning for object recognition. She used CycleGAN to generate synthetic data sets for her client. Then a light went off and she decided to train CycleGAN with her own photography and artwork.

This is actually a pretty important distinction in AI art made with GANs. With AI art, we often see artists using similar code (CycleGAN, SNGAN, Pix2Pix etc.) and training with similar data sets scraped from the web. This leads to homogeneity and threatens to make AI art a short-lived genre that quickly becomes repetitive and kitsch. But it doesn’t have to be this way. According to Sarin, there are essentially two ways to protect against this if you are an AI artist exploring GANs.

Love at the First Checkpoint
Edition 1 of 1
GANcollage of my original still life drawings
AI #AIart #collage #GAN #generative #generativeart

First, you can race to use the latest technology before others have access to it. This is happening right now with BigGANs. BigGANs produce higher-resolution work, but are too expensive for artists to train using their own images. As a result, much of the BigGAN imagery looks the same regardless of who is creating it. Artists following the path of chasing the latest technology must race to make their stamp before the BigGAN aesthetic is “used up” and a “BiggerGAN” comes along.

Chasing new technology as the way to differentiate your art rewards speed, money, and computing power over creativity. While I find new technology exciting for art, I feel that the use of tech in and of itself never makes an artwork “good” or “bad.” Both Sarin and I share the opinion that the tech cannot be the only interesting aspect of an artwork for it be successful and have staying power.

That Iconic GAN Weaver
Edition 1 of 1
generative model trained on my original drawings
AI #AIArt #GAN #GenerativeArt

The second way artists can protect against homogeneity in AI art is to ignore the computational arms race and focus more on training models using your own hand-crafted data sets. By training GANs on your own artwork, you can be assured that nobody else will come up with the exact same outputs. This later approach is the one taken by Sarin.

Sarin approaches GANs more as an experienced artist would approach any new medium: through lots and lots of experimentation and careful observation. Much of Sarin’s work is modeled on food, flowers, vases, bottles, and other “bricolage,” as she calls it. Working from still lifes is a time-honored approach for artists exploring the potential of new tools and ideas.

Sarin’s still lifes remind me of the early Cubist collage works by Pablo Picasso and Georges Braque. The connection makes sense to me given that GANs function a bit like an early Cubist, fracturing images and recombining elements through “algorithms” to form a completely new perspective.  As with Analytic Cubism, Sarin’s work features a limited color pallet and a flat and shallow picture plane. We can even see the use of lettering in Sarin’s work that looks and feels like the lettering from the newsprint used in the early Cubist collages.

I was not surprised to learn that Sarin is a student of art history. In addition to Cubism, I see Sarin’s work as pulling from… Read “Helena Sarin: Why Bigger Isn’t Always Better With GANs And AI Art” for the rest of Bailey’s foreword and Helena Sarin’s important paper “Neural Bricolage” in its entirety. 

1

Artnome

Jason Bailey is an art nerd trying to trigger an art analytics revolution. Jason is mission driven to use technology and data to improve the world's art historical record and to bring attention to artists working at the intersection of art and technology.

Art

Tech

Curators' Choice

Generative Art Tools

Generative Art Tools

Generative Art Tools

4 years ago

By Yura Miron

Yura Miron is a visionary artist exploring the inner and outer universes using the new media art tech, such as: VR, GAN, generative art and blockchain. Inspired by his visionary psychedelic experiences, lucid dreaming and by being constantly aware of his own presence. Working with such themes as: visionary mystical experiences, fusion of nature and technology, solarpunk, eco-speculation, science fiction, quantum and astrophysics, micro and molecular biology.

In this article I’d like to talk about some fascinating generative tools that are available to download and experiment by any artist. First I’d like to give you some of my art background.

All of my life I’ve been drawing and I’ve decided to dedicate my life to art around 9 years ago, when I was 20 y/o. For the first 4 years I’ve been only drawing all days long, generating 3-4 finished drawings every day. I’ve been learning arts very fast. I’ve been working on developing my unique style, playing with compositions, colors and technics. 6 years ago I’ve discovered the whole new fantastic world – new media art. I’ve started 3D sculpting, VJing and animating my drawings. I’ve been very productive and posted everyday new artworks on my social media blogs my artworks, and have gained lot of followers, for example on Tumblr there was 100K+ of followers. And still there was no way of me making money of my digital art.

In 2015 I’ve first tried painting in VR and my life as an artist was completely changed forever by it. Together with my friend we’ve created a mixed reality lab, where artists could explore VR and AR tech in their art practices. I’ve taught for than 1000 people how to create art/sculpture/animation/design in VR in 2016-18 years. In 2016 together with Serge Synthkey we’ve created our musical duo project called SYNXRON. We’ve been doing many live shows, mostly electronic dance music (techno/house/acid/modular/ambient/idm), did lives on opening of some cool art exhibitions, made collaborations with dancers, choreographers, media artists, laserjays and designers. Also I’ve been working with VJ Yarkus on many shows as a laserjay. Laser light is something of absolutely magnificent nature. The main point of all those collaborative live shows was the real time connection with an audience. When I’ve had all my set-up working properly, at any given moment I’ve been able to generate anything unexpected and influence its output all of the time. The main mission of our performances was to create an immersive audio-visual experiences for different people in different locations. And everybody who’s watching my visuals or listening to my music were also co-creating it with me, as it influences my outcome in real-time as well. So this is more like a controlled chaotic feedback-loop, than a predicted order.

In the late 2018 I’ve felt really burned out and decided to stop making music with Serge and teaching and laserjaing. Working on laser shows and teaching VR, while making an album, practicing for next live shows over and over again and having ongoing troubles in my personal relationship, I’ve decided to leave it all behind, being grateful for the experience, and moving further. I needed to get back to my core, to zero. I’ve felt that I need to focus on my Art again. I’ve started creating “Pure Abstractions” back then. Suddenly then I’ve discovered cryptoart. Blown away with it’s possibilities I’ve started searching for the main platforms where I could start tokenizing some of my best artworks. Luckily, I’ve been accepted as an artist on all of them. I remember one day I’ve seen ‘Latent Space of Landscape Paintings #1’ by @videodrome.

Latent Space of Landscape Paintings #1
Edition 1 of 1
Tracing the perimeter of a high dimensional sphere through the latent space of AI generated landscape paintings.

I was pretty much amazed by it! I’ve started learning about GANs and how they work. I’ve found Ganbreeder (now it’s called Artbreeder https://www.artbreeder.com/ ) and it was exactly what I’ve been looking for. I’ve been ganbreeding for hours, just like I’ve been drawing before. I’ve had a feeling that this is something really surreal and beautiful! I’ve generated thousands of artworks using this tool, and made created around 200 different animated loops with it (half of them are already tokenized to). I’ve been breeding static artworks, and crossbreed between them, saving frame-by-frame. Later I’ve learned automate this process it using some coding in Python (copy-paste from instructions), before the animation editor was finally built into Artbreeder. I remember how I’ve put up the very first GAN animation of mine. It was ‘Agfom Potent-Shot’:

Agfom Potent-Shot
Edition 1 of 1

It completely brew my mind, how close this artwork was to some of my visions generated by magic mushrooms and I’ve continued exploring this new unexplored (by myself) territory.

I love the way how I’m able to choose where the evolution of an artwork will go, by selecting the best artworks. Also I’ve been crossbreeding a lot between different pictures. It’s a wonderful tool for an artist. I think that an artist becomes a curator in this situation. I imagine a factory of artists, hundreds of artists working all the at once to paint art, and my role is to select the best ones. Only a few super wealthy artists can really hire hundreds of other artists in real world, but with Ai tools now any artist can do that virtually.

Now I’d like to talk about some other fascinating generative tools that I’ve been exploring lately.

First one is Physarum simulation by Sage Jenson. A true cosmic generation experience. God-like feeling J

Here’s how he describes it by himself: “This February I spent a bit of time simulating slime mold (Physarum polycephalum). I saw some incredible posts by Georgios Cherouvim with reference to a 2010 paper by Jeff Jones, “Characteristics of pattern formation and evolution in approximations of Physarum transport networks.” When I read the paper, I was excited to learn that the model combined continuum and agent-based simulation systems in a way that I hadn’t seen before. In this post I try to describe some of the concepts behind the system, and give an overview of how it functions.

There are two requirements of efficiency in foraging behavior: 1.) to search a maximal area and 2.) to optimize transport distance. Physarum polycephalum is a unicellular multinucleate organism that excels at these two competing tasks through the mechanisms of growth, movement, and area reduction. When the organism can choose to travel through two different paths to a destination, the emergent behavior allows it to effectively find shortest paths. This allows Physarum to navigate mazes, develop optimal road-like systems and solve other path-finding problems.

The model postulated by Jones employs both an agent-based layer (the data map) and a continuum-based layer (the trail map). The data map consists of many particles, while the trail map consists of a 2D grid of intensities (similar to a pixel-based image). The data and trail map in turn affect each other; the particles of the data map deposit material onto the trail map, while those same particles sense values from the trail map in order to determine aspects of their locomotion.

Each particle in the simulation has a heading angle, a location, and three sensors (front left, front, front right). The sensor readings effect the heading of the particle, causing it to rotate left or right (or stay facing the same direction). The trail map undergoes a diffusion and decay process every simulation step. A simple 3-by-3 mean filter is applied to simulate diffusion of the particle trail, and then a multiplicative decay factor is applied to simulate trail dissipation over time. The diagram below describes the six sub-steps of a simulation tick.

Many of the parameters of this simulation are configurable, including sensor distance, sensor size, sensor angle, step size, rotation angle, deposition amount, decay factor, deposit size, diffuse size, decay factor, etc. For a more detailed description check out the original paper.”

He implemented the model in C++ and GLSL using openFrameworks. All of the computation and rendering happen on the GPU, which stores both the particle information and the trail map. The simulation runs in real-time on a GTX 1070, with most of the examples comprised of between 5 and 10 million particles.

https://sagejenson.com/physarum

I did not receive any answer from Sage, asking if I could experiment with his amazing tool. So I’ve started searching for any other software where I can generate Physarum simulations and I’ve found one created by nicoptere on Github https://github.com/nicoptere/physarum

Here’s what I’ve generated with it:

Another software that I’ve been enjoin lately is Egregore. “Egregore – source” is an adaptation of the software used by chdh for the performance egregore in 2011-2014. It is based on five different audiovisual instruments made of chaotic and physical modeling algorithms that you can directly control. It is available as a software to download or as a usb stick. Download the software here: http://www.chdh.net/egregore_source.php

Here’s my today’s experiments with it:

Next tool I’d like to discuss is ‘Cosmic Sugar’ – a simple but elegant GPU driven simulation space. VR conrollers become attractors or repulsors which allow you to craft nebulae. A very beautiful VR tool: I’ve imagined that one day I’ll be able to generate millions of particles using my hands in VR, real-time, and here’s this tool – just like I wanted it to be. Highly recommended software.

Here’s me playing with it for the first time yesterday:

http://cosmicsugarvr.com/

 

Next tool is called Vsynth – A modular virtual video synthesizer and image processor package for Cycling’74 Max environment. Vsynth was created by Kevin Kripper, a new_media artist, indie developer and teacher based in Buenos Aires.

I’ve created 3 music videos for my musician friends Luna-9. Here’s one of them:

https://www.patreon.com/vsynth

Here’s a link on his Patreon, where you can download the software and many cool patches by subscribing to his pateron page for only 5$/mo

The next tool is perfect for VJing (my passion for the last 6 years – I’ve been VJing on many parties/festivals/raves) is Microdose VR – a trly fantastic software for live performances and music videos.

 

Microdose VR combines art, music and dance into a realtime generated creative virtual reality experience. Microdose VR is created by Vision Agency, a VR centric studio based on Colorado, USA, founded by Android Jones, Anson Phong, Scott Hedstrom and Evan Bluetech.

Microdose VR is currently in beta development and only in use by a very small circle of testers. The only way to try Microdose VR is to find us at an event that we’re at. If you have an HTC Vive or Oculus Rift with touch controllers and would like to obtain Microdose VR, you can get yourself on the list to beta test by sending a private message to this FB page, requesting to be in the beta test group. https://www.facebook.com/microdoseVR/ or you can do the same using Discord (that’s the way I’ve got my beta-tester key) https://discord.gg/t43TsSp

This is my upcoming artwork for the Cryptograph https://cryptograph.co All of my proceeds (70%) will be donated to the “Many Hopes”charity https://www.manyhopes.org Created using MicrodoseVR:

I’m going to tokenize many new artworks created with these amazing generative tools.

I hope you’ve enjoyed my article and learned something new and valuable. Thank you!

28

SuperRare

SuperRare is a marketplace to collect and trade unique, single-edition digital artworks.

Art

Tech

Curators' Choice

The Shaman Convergence

The Shaman Convergence

The Shaman Convergence

4 years ago

Lawrence Lee, acclaimed Contemporary Southwestern artist, and Bård Ionson, coder with a keen eye and an artistic bent, have begun a fascinating journey of collaboration that melds paintings with modern artificial intelligence technology.

Lee’s “magic people” inhabit a separate reality that seems to be of another world–a multidimensional one. By combining one of the original human creative outlets, painting, and advanced math with new technologies, a multitude of mages, seers, shamans and sages has been born.

Just a Few of Lee’s Original paintings

This is a creation built on a lifetime of Lee’s creations at the easel. Bård used over 250 Lee paintings to train a machine learning / artificial intelligence system and used his own creative skills to perfect the output of the software and to curate results.  Lee then worked to identify the best of the generated images and used his digital painting skills and immense creativity to improve on what Bård produced. With each iteration, new possibilities were revealed, and the pair are excited by the prospect of further development, incorporating new technologies as they become available and following the lead of some of the images produced thus far into new, previously unimagined areas.

Bård is now taking the improved results to teach the AI model all over again.

The goal was to expand the creative palette like a hallucinatory dream. Controlled by Bård with training selections, the AI produced a googleplex of possible random outcomes. Lawrence and Bård have hand-selected the best of each production run from the machine, and Lawrence has worked to unearth these new shamans and the landscapes they inhabit by enhancing them further and augmenting their otherworldly qualities in an attempt to better understand their roots and to release their powers. 

Ionson and Lee will be releasing the series of images created, called Convergence, as weekly package drops of three still images and one video on SuperRare. Find them starting on June 23. The winning bidder will have the option to redeem an exclusive 1 of 1 , 10″ X 10″ inch print valued at $250 created by Lawrence in his Arizona atelier. Coupon code will expire after two months if not redeemed.

Convergence Ab The Bård artificial intelligence version |  Convergence Ab – After Lawrence Lee turns it into art. 

Converging Artists

The mystical Shamans of Lawrence Lee are famous in the genre of American Southwest Art. Lawrence has painted thousands of quality paintings of these Shaman. Which is just one of the things that attracted me to work with him.

I got to know Lawrence through our work together on establishing an industry-wide convention for secondary sale royalties. For months a group of artists met virtually on Discord to discuss and plan ways to promote artist resale rights. He has also given art career advice to many of us based on his half-century of experience in the competitive art market.

I approached Lawrence about a collaboration knowing that he had a lifetime of artwork to build on. I suspected that we just might be able to make something special by combining my somewhat unique artificial intelligence art techniques. One thing that makes artificial intelligence art work right now is a large library of content. One needs thousands of images to train a GAN (Generative Adversarial Network) on how to make copies of an oeuvre. 

He was very enthusiastic, and within an hour we agreed to work together.

Parts of his work really drew me into thinking this could work. I have an affinity for southwest art from growing up in Denver Colorado. He has lots of work. Often his work is square, which is ideal for AI art as code is built for 1:1 ratio work. His work has an otherworldly feel that I thought would lend itself to the artifacts that GAN introduces. And I really wanted to experiment with subject matter that was original and unique.

Start of an Idea

This was partly inspired by Robbie Barrat’s collaboration with Ronan Barrot, a French painter, called Infinite Skulls. Ronan has painted hundreds of small square skull paintings over a lifetime, and Robbie trained a machine learning / artificial intelligence GAN with them. Robbie curated what the GAN generated. Then Ronan would paint over them to fix them or he would paint new ones based on what was produced.

The Process

Lawrence liked the concept and we decided to move forward. He sent me 200 or so images of his shamanistic works. Unfortunately, many photos of his early Shaman paintings were lost. I was able to pull a number of them from various places on the internet. And with some manipulation, I was able to make many variations of those by altering them slightly–or sometimes drastically–using AI style transfer techniques.

In the process, I built about five different models and ended up with three that were sufficient. One key is that the GAN was not able to build good looking torsos and faces at the same time. One model ended up being trained on half-length subjects and the other on head shots. And then we have the original third model that makes surrealistic blobs with eyes and Shaman as viewed on a bad trip.

As I experimented with each model’s output I sent Lawrence a large batch of images. Some were random and some were curated choices by me. He says I have overloaded him with a year’s worth of ideas and images. He began finding the best ones and then experimenting with what to change to make them look like a Shaman should.

It was difficult because the first batches were fairly poor. He provided input on what needed to be corrected in the training and I took some of his initial experiments on fixing them and added them back into the training set. I removed thousands of images that were “corrupting” the training. Many of these bad images were introduced by my attempts to augment the training set. So now I directed the training on the faces by providing more headshots. We iterated on this.

The faces were just full of chins and mouths or just blobs. But Lawrence started enhancing them.

(Early AI GAN faces)

Then Lawrence had the idea of finding the best parts from multiple images and putting them together. Or perhaps I thought he said something along those lines. But in the middle of the night trying to sleep I think why not make a separate model for heads and build on top of an existing open-source model of faces. By cropping the heads I could build a separate model just for heads. I also include headshots and self portraits of Lawrence Lee.

Lawrence Lee Self Portrait 

In the meantime Lawrence created amazing pieces by augmenting the output of the GAN using Procreate and an iPad. Sometimes he invented an ancient god from just an abstract blob. 

The blob from the AI model

One of the Artificial Intelligence generated images.
Or he drew a new face on an amazing flowing cloak.

Once I was able to produce better faces I sent him a large batch of those. I had also been producing latent morphing videos commonly seen with GAN based art. He found that by stopping the video in the middle of a transition between faces he could find some good faces to build on.

We have ideas for improving the models. The next attempt might be to use high resolution images of just the faces including the new digital works. And also making sure they are all in a face forward position.

Part of the fun I have in making artificial intelligence art is the strange things it can produce when experimenting and adding things to the model just to throw it off a bit. This has been a rewarding and joy producing project to work on.

With his skills in manipulating color and shadow he has pulled out the best features of these beings. I am so excited to present these to the world. They are so much better than I could ever dream of being able to create.

Please find these Shaman works we call Convergence on SuperRare on the profiles of Lawrence Lee and Bård Ionson 

Lawrence is one of the small number of fine artists in the space of tokenized art because he is always looking for ways to expand and learn new things. He has been a professional artist for over 40 years.  He is one of the original adopters of non-fungible tokens on SuperRare for his digital art. In addition he has created computer art from early in the personal computer age. 

Bård Ionson is an artist who is a relative beginner with art but has spent a career working with computers and programming. He is now creating digital art and video art using oscilloscopes, scanners and artificial intelligence technologies.

1

Bård Ionson

Bård Ionson is an artist who is a relative beginner with art but has spent a career working with computers and programming. He is now creating digital art and video art using oscilloscopes, scanners and artificial intelligence technologies.

Art

Tech

Curators' Choice