3 ms·
so basically despite the higher resource requirements like 10TB of data for 30 minutes of footage, the compositing is so much faster and more flexible and those
by yieldcrv 10mo ago
so basically despite the higher resource requirements like 10TB of data for 30 minutes of footage, the compositing is so much faster and more flexible and those resources can be deleted or moved to long term storage in the cloud very quickly and the project can move on
fascinating
I wouldn't have normally read this and watched the video, but my Claude sessions were already executing a plan
the tl;dr is that all the actors were scanned in a 3D point cloud system and then "NeRF"'d which means to extrapolate any missing data about their transposed 3D model
this was then more easily placed into the video than trying to compose and place 2D actors layer by layer
- andybak 10mo ago> and then "NeRF"'d which means to extrapolate any missing data about their transposed 3D model Not sure if it's you or the original article but that's a slightly misleading summary of NeRFs.
- yieldcrv 10mo agoI'm all for the better summary
- darhodester 10mo agoGaussian splatting is not NeRF (neural radiance field), but it is a type of radiance field, and supports novel view synthesis. The difference is in an explicit point cloud representation (Gaussian splatting), versus a process that needs to be inferred by a neural network.
- IshKebab 10mo agoIt's not a type of radiance field.
- michaelrubloff 10mo agoIt’s literally the name of gaussian splatting. 3D Gaussian Splatting for Real Time Radiance Fields https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/ https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/
- IshKebab 10mo agoHmm if gaussian splatting is radiance field rendering then so is any 3D rendering, and what's the point of using the name? Though having looked up the name it seems like it isn't well defined enough to mean much anyway tbh.