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Marie Antoinette
Nathan Shipley is a San Francisco-primarily based graphics artist who employed artificial intelligence (AI) to reimagine a handful of historic figures, cartoon characters, and famed paintings as modern-working day people today.
A lot more: Instagram h/t: demilked, boredpanda
Marie Antoinette
In a current job interview with Bored Panda, the artist claimed he enjoys to develop not possible images and discover new technological innovation. Nathan has a qualifications in animation and visible outcomes and after he noticed the opportunities that AI and machine mastering equipment open up, he recognized that there are a lot of issues that could be done applying them that would in any other case be impossible. “Even some items that could be technically possible with VFX and CG could however be incredibly time-consuming or costly, whilst AI allows totally new options,” said the artist.
William Shakespeare
Nathan says it’s fascinating to investigate how an AI design designed on a particular dataset with a distinct framework can ‘see’ the globe and then remodel pictures.
“The AI ‘knows’ only what it has already witnessed and filters the planet through this lens. Every single tiny tweak to the dataset, the teaching parameters, the design, and the enter imagery all have the risk to transform the output,” described the artist. “This is a room to check out how synthetic neural networks interpret the environment in a way that can be related to our possess minds. I’m not declaring that an image I designed is what Mona Lisa actually seemed like, but it is how the machine sees her centered on this unique arrangement of variables. That, to me, is fascinating.”
George Washington
The artist says he often cherished to attract, choose images and paint. He has also been about pcs because he was in elementary university and says that the mixture of conventional art and technological innovation has been a organic phase for him, which led to his career in VFX and animation.
“My current fascination in checking out deal with manipulation and generative art applying AI and machine understanding begun with a challenge for the Salvador Dali museum known as Dali Lives in 2018. I utilised early deepfake code to convey Dali back to the museum to discuss to visitors about his artwork,” stated Nathan. “From in this article, I moved into doing the job with GANs and understood how impressive neural networks can be for impression processing and era! For me, creating artwork is both equally an expression of curiosity and an act of exploration via process.”
Anne Bolyen
Nathan suggests his preferred portion about building artwork is the course of action of making it and the journey that goes with it. “It’s wonderful to see a finished impression, but it is even far more interesting to try out new code, use code in techniques it was not intended to be, mix distinctive equipment with each other, and build solely new artwork as a result of new procedures,” says the artist. He also provides that making the photos is a extremely “iterative and explorative” method.
Queen Elizabeth I at all over 62 decades-outdated
Even though the illustrations or photos only consider minutes to build, it took Nathan a very long time to study every thing. “All of the studying and background I essential to get to this point has been a couple a long time of exploration and trial and error. I even attended a conference at MIT known as GANocracy back in 2019,” explained the artist. “I’ve constructed an artwork participant, for case in point, that can generate fully new, never-ending, fully novel artwork in authentic time. Frames are produced on the fly! Nevertheless, training the model and crafting the code for the player was months of function and processing time.”
Princess Elizabeth I
Queen Elizabeth I
Anne Boleyn
Mary Tudor, AKA “Bloody Mary”
Edward VI
Henry VIII
Henry VII
Benjamin Franklin
George Washington
Ulysses S. Grant
Andrew Jackson
Remastering Rembrandt
Remastering Rembrandt
Remastering Rembrandt
Rembrandt Harmenszoon van Rijn
Mona Lisa
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