TurboNeRF founder James Perlman continues to push updates out, this time releasing 0.0.14, with a lot of new features.

• Now you can import multiple NeRF datasets

  • This means you can train multiple NeRFs simultaneously

• For now it only runs on a single GPU

• Vast improvements in memory management

• Duplicating & deleting objects in blender is accurately reflected in the TurboNeRF renderer

• Training images can be unloaded to reduce memory usage

• Each NeRF now has its own training settings

• Ease-of-use improvements in the various UI panels

• Reset Training & Unload Training Images has been moved to a new Danger Zone section in the training panel (so you don't accidentally ruin your project!)

Download the TurboNeRF core binary: PyTurboNeRF 0.0.14

Download the Blender addon: TurboNeRF-Blender 0.0.14

James further gave a sneak preview to what's coming next with:

• Implementing a faster NeRF scheme (looking at MERF)

• Multi-GPU training & rendering

• NeRF & Camera effects.