Meshroom VS OpenCTM

I know there is this github repo Https://github.com/alicevision/meshroom. Source: about 2 years ago

You can input your photos into Meshroom using a capable computer or Colab. Even if you're only interested in some of the depthmaps, you'll have to input a full set of images around the object. It will take 2-4 times longer than default but for your usecase you may want to change the 'Downscale' attribute to 1. Source: about 2 years ago

I know this is r/fossdroid, but I don't think there is any Foss Android application capable of that. However, meshroom came into my mind. It is free and open source with linux support. The downside of it is that you can't create the model right in your phone, but you first need to take many photos to then upload to your computer and process. Source: about 2 years ago

This has been used in Video games for the Better part of decade, already. And you can do this yourself without an iphone with lidar, by taking a lot of pictures of an object from various angles, and then use something like meshroom to make a detailed 3d model of it. Source: about 2 years ago

This is using the Iphones LIDAR, (basiacally laser depth sensor) to get accurate data, but it can be done also be done without it, just with a lot of pictures of all around the object, from various angles, and some software like meshroom. Source: about 2 years ago

Offloading the CPU is a good thing, but to me this does not seem like the game changer that they are trying to make it sound like. To really get stellar loading speeds you need to use advanced context-aware compression techniques, e.g. Similar to OpenCTM (I'm not sure what's used in games these days in terms of mesh compression and similar, but lossless entropy encoding like zlib/GDeflate is only a small part of... Source: over 1 year ago