While the instructions are clear, I feel there is less wiggle room when it comes to particular software versions you need than the Requirements section of the repo implies. I won’t lie, I found this hard to install. My Attempts (aka Scruffy-Looking Nerf Herding) Instead, I’ll focus on the videos I made, and little parts of the journey I stumbled on. I won't go into the nitty-gritty of how this all works (feel free to ask questions though!), but I will put links to a lot of resources I have found useful. Finally, we want to create a video of our creation! Inside the software NVIDIA has made, we will draw a path for the camera to take around the model, and then render the video.This is effectively the same as making a 3D model. This then trains an AI to understand the spaces between the images we have generated. This process also tries to understand the angles we were recording from.

We will take this, and transfer it to still images.

Let's go record something we want to 3D-ify! The results and examples they provide are extremely impressive:

This has reduced the time needed to create a model from days to seconds! NVIDIA makes a lot of exciting claims about the useability and speed of the instant-ngp software. Nvidia has released its instant NeRF software, which makes use of GPU hardware to run the necessary complex calculations. Previously, NeRFs took a very long time to learn how to transform your set of images into something 3D. However, we did promise at the start that NeRFs were fast, which until recently, was not the case. Sounds great, right? From a small set of images, you can make a 3D model! This has benefits over standard photogrammetry, which requires an enormous library of images to generate something (you need to have footage of every angle). This jumping (or interpolating, which is a slightly fancier term) leads you to generate images of new perspectives of the object! This is done by learning to transition between the images you already have. NeRFs take a small set of 2D images you have taken of an object or scene and use them to (effectively) build a 3D representation. One method to get around this is a neural radiance field (NeRF), an AI method of generating images. Generating 3D models can be time-consuming, or require an enormous set of reference images.

Blender 2d to 3d model