But check out a small section:Īnd it’s way better in 3D, as you can imagine. The transformation is much more subtle, at least at this scale. Here’s the 2D projection of the source Photosphere before and after processing: But if you’re on Android and have the Cardboard demo app and a Google Cardboard, you should save the image to your phone and check it out in stereoscopic 3D.įor our second “dream sphere” we decided to veer away from animalistic in favor of more abstract, using a Photosphere I shot of an outdoor sculpture in Palo Alto, made from willow branches, “ Double Take” by Patrick Daugherty. If you’d like to see it in 3D in your browser, I uploaded the processed Photosphere to VRCHIVE. Here’s the Photosphere as a 2D projection, before and after DeepDreaming: We chose to let the neural networks go full “animalistic,” so the forest scene got fully populated with a nightmarish assortment of creatures. The first Photosphere we put through the process was something I captured during a photoshoot for the homepage of my new startup, Parietal VR. Might they be willing to run a few of my Photospheres through their highly scalable, cloud-based DeepDreaming instance? Indeed, they were. Recently, I wondered what might happen if I connected these two interests.įortunately, my friends Joseph Smarr of Google and Chris Lamb of NVIDIA had recently helped our mutual friend and professional photographer Dan Ambrosi overcome the technical hurdles to apply DeepDreaming to his multi-hundred megapixel panoramic photos, with some pretty stunning results. I’m a big fan of Google’s trippy explorations at the intersection of photography and artificial intelligence via the DeepDream neural network software, and I’m a longtime enthusiast of virtual reality.

Photosphere google cardboard