Todays paper F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories which is a mouthful.  Lets break this one down to production talk.

This bad boy allows a filmmaker, interested in creating virtual scenes or generating novel views of a scene from different camera angles. It’s a framework that can synthesize high-quality images of a scene from various camera viewpoints, even ones that weren’t originally captured.  Boom!

Moreover, F2-NeRF is fast—it can be trained in just a few minutes, which makes it practical for use in filmmaking and animation workflows. Think of it as a powerful tool for creating dynamic and visually compelling virtual environments in your films.

As for the training data, F2-NeRF is trained on images (not videos or text) and leverages a technique called “Neural Radiance Fields” to learn how to generate new views of a scene based on the images provided. This allows it to produce high-quality renderings from any desired camera viewpoint.

https://arxiv.org/abs/2303.15951
https://totoro97.github.io/projects/f2-nerf/