Xenova::Deformable Neural Radiance Fields, NERFIES
I have just come to the paper of Xenova on the novel space.
Very well interesting.
It is close to photogrammetry technique except that the picture view is based on a diffraction and projection (Face, Bottom) of the shadows of light (Neural Radiance Fields, NRF) instead of a condensation of the cloud.
The picture tends to be higher in fidelity to the actual lights when seen in real life as opposed to a normal photo.
A nerfie, is therefore, more accurate than a camera lense and the AI could be more effective.
The holes however, have been harder to manifest according to the video. The convex space of an open mouth being, part of a black hole in the space, energy is more condensed and less dispersed through the prism of light.
A Nerfie is quite the quantum AI camera!
I believe if the team would resolve to create an interference spectrum in the concavities, (as opposed to already existing diffraction in the convex space) it would be it.
I will try to give it a try myself. I like to be handy with maths.
Hugs.
P.S: The algorithm seems to be focused on UV lights and their ocre complementary. Maybe different frequencies to the Light radiance field would make it happen.
*looking forward to the discussion