Computer Vision / Video Analytics

AI Art Gallery: AI in the Hand of the Artist

NVIDIA recently reached the 2 million registered developers milestone. To help commemorate the milestone, artist Pindar Van Arman this week at GTC painted a unique portrait of the NVIDIA Developer community.

Using portraits submitted at the recent GTC AI Art Gallery, Pindar enlisted the help of an AI-painting robot to complete the job. 

Pindar uses a Jetson-based autonomous robot to generate the paintings. 

The robot was trained for the final painting by practicing on individual portraits submitted by visitors and registered developers during the days leading up to its unveiling.

Source: Pindar Van Arman

The GTC AI Art Gallery featured art pieces from a collection of artists, developers, and researchers from around the world, all of them using AI. 

Additional artists featured in the AI Art Gallery include:

Refik Anadol – “Machine Hallucinations,” by the Turkish-born, Los Angeles-based conceptual artist known for his immersive architectural digital installations, such as a project at New York’s Chelsea Market that used projectors to splash AI generated images based of New York cityscapes to create what Anadol called a “machine hallucination.”
Daniel Ambrosi – “Dreamscapes” fuses computational photography and AI to create a deeply textural environment.
Sofia Crespo and Dark Fractures – Work from the Argentina-born artist and Berlin-based studio led by Feileacan McCormick uses GANs and NLP models to generate 3D insects in a virtual, digital space.
Scott Eaton – An artist, educator and creative technologist residing in London combines a deep understanding of human anatomy, traditional art techniques and modern digital tools in his uncanny, figurative artworks.
Oxia Palus – The NVIDIA Inception startup will uncover a new masterpiece by Leonardo Da Vinci that resurrects a hidden sketch and reconstructs the painting style from one of the most famous artists of all time, DaVinci.
Anna Ridler – Three displays showing images of tulips that change based on Bitcoin’s price, created by a U.K. artist and researcher known for her work exploring the intersection of machine learning, nature and history.
Helena Sarin – Using her own drawings, sketches, and photographs as datasets, Helena trains her models to generate new visuals that serve as the basis of her compositions — in this case with type of neural network known as a generative adversarial network, or GAN. The Moscow-born artist has embedded 12 of these creations in a book of puns on the acronym GAN.

View all of the work at the AI Art Gallery.

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