3 ms·

I wonder if techniques like this could work for Gaussian Splattering too? Also, they mention AR headsets and Drones in the conclusion, which would both be fant

I wonder if techniques like this could work for Gaussian Splattering too? Also, they mention AR headsets and Drones in the conclusion, which would both be fantastic use cases. High quality inspections could be done by allowing the drone to capture the absolute best angles just-in-time rather than a predetermined path

Legend2440 3y ago
Most techniques for nerfs also work for the newer variants like guassian splatting. It's the same fundamental process - optimizing a 3D representation of a scene using gradient descent. Neural networks are a very general-purpose way to represent anything, but that comes at a cost. Using a more 3D-specific representation improves performance.
- PaulHoule 3y ago
  ... that's exactly what I find so exciting about this field, a factor of 3 here and a factor of 5 here and pretty soon I can go out with my lightfield camera and make a 3D model of your place of business to put it into the "metaverse" which you could never afford to do the way they make video games.
blovescoffee 3y ago
The authors wrote the GS paper
- BenoitP 3y ago
  Good stuff coming from them and that lab! From a researcher's personal page[1], they're working on cashing in that GS stuff: estimating pose dynamics by regularizing Gaussians’ motion and rotation with local-rigidity constraints [2]. The videos are impressive[3], and seem to be bringing in the 4th dimension. Twitter is here[4] [1] https://grgkopanas.github.io/ https://grgkopanas.github.io/ [2] https://grgkopanas.github.io/2023/08/24/dynamic_3d_gaussian.html https://grgkopanas.github.io/2023/08/24/dynamic_3d_gaussian.... [3] https://dynamic3dgaussians.github.io/ https://dynamic3dgaussians.github.io/ [4] https://twitter.com/GKopanas https://twitter.com/GKopanas