Neural Databases

Post by handol » Sat, Oct 17, 2020, 8:19 PM UTC

l33tman wrote: post #16

wokwokwok wrote: post #10

Earlier quoted context omitted.

Have a look at the google drive files if you click on the data link; it's a lot more than 2 photos. eg. That dinosaur skeleton is derived from 60 photos. The drumkit comes from ~100. ...so it's not magic, it's very close to what you get from standard photogrammetry. The big part of this is that it isn't representing the scene as block of voxels like some other approaches. > The biggest practical tradeoffs between the…

Also I do think the 3d voxel reconstruction approach and the nerf approach solves different goals. I didn't read the original nerf paper thoroughly but AFAIK the network learns to interpolate between the photos in a beautiful, smooth way, but the voxel representation would allow a lot of other reconstructions.

If the photos span the camera's full position-orientation vector space, I don't see why you can't put the camera anywhere in the scene.

Post by suifbwish » Wed, Oct 21, 2020, 11:27 PM UTC

MichaelBurge wrote: post #19

suifbwish wrote: post #15

Earlier quoted context omitted.

Tensorflow 1.15 for python3.. good luck finding that anymore for a Linux repo. Tensorflow needs to stop breaking their entire codebase every 10 or so minor versions and also make their archived versions for all OS readily available. Do a pip3 install tensorflow==1.15 just for an illustration of what I am talking about. There are hundreds if not thousands of extensive code TF projects on GitHub that are now almost com…

Try the "tensorflow/tensorflow:1.15.0-gpu-py3" Docker container. Most Linux distributions support Docker, and Nvidia's been working on supporting GPU access in them.

Oh very nice! Thank you for this. Docker has never been my go to as I use virtualenv for most of my projects but it’s things like this that make me begin using new things.

Re: Neural Databases

Re: Neural Databases