Deep-learning neural network creates its own interpretive dance

Way back in 2005, when Will Wright unveiled Spore to an astonished crowd at GDC, there was one particular part of the demo that seemed to generate buzz: procedural dance. Spore uses player input to generate everything from a creature’s walk animation to its mode of social interaction, but it was the ability to take a novel body shape and make it dance that seemed to excite people’s imaginations the most. Yet Spore took the easy road: None of the creatures look like human beings, which means we have no idea what they’re supposed to dance like. Spore basically just defined dancing as rhythmic movement, sometimes around a fire; that’s not a bad definition by any means, but it’s also nowhere near good enough to generate lifelike human dance. Now,…

Link to Full Article: Deep-learning neural network creates its own interpretive dance

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!