NeRF in Blender: TurboNeRF Alpha announced by James Perlman

Roughly two months ago, James Perlman called me with an ambitious idea. He was going to build a new NeRF algorithm completely from scratch.

Roughly two months ago, James Perlman called me with an ambitious idea. He was going to build a new NeRF algorithm completely from scratch.

Michael Rubloff

Michael Rubloff

Michael is the Founder and Managing Editor of Radiancefields.com

TurboNeRF

Roughly two months ago, James Perlman called me with an ambitious idea. He was going to build a new NeRF algorithm completely from scratch. Today, on Pi Day, the EntrepreNeRF announced a early peek of TurboNeRF.

https://twitter.com/jperldev/status/1635719070141267968

As of publication, TurboNeRF is completely open sourced and has a MIT License.

In order to get TurboNeRF running, only two components are necessary for download. If you already had it downloaded, you'll need to update both the Blender add-on AND the PyTurboNeRF bridge.

TurboNeRF Downloads

While this is just an early peek at the full release, the progress made has been astounding. If you are curious how he built it, James streamed the entire creation of TurboNeRF (from scratch) on his Twitch.

James' work was recently shown by Jonathan Stephens in a presentation, though TurboNeRF was not. This has continued to be an exciting week for NeRFs and it's only Tuesday!

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