OpenSfM VS OpenMVG (open Multiple View Geometry)

OpenSfM (JSON)

You're kidding right? There are lots of coders on github with open-sauce Python. The basic algorithm being used now is Structure-from-Motion (SfM). Photogrammetry started with projecting a red stripe light on the object, taking the photo, and manually stitching together common points. That uses edge detection, another algorithm. Everybody knows the Z-depth calculation algorithm, and that is starting to be done with AI. Sony is using some scrolling parallax algorithm with their photogrammetry software. It looks like Reality Capture can calculate the camera positions and angles first, then use photon tracing rather than ray tracing to determine the point cloud. OpenSfM https://github.com/mapillary/OpenSfM

OpenSfM is written in Python and JS and pretty easy to understand.

Try to find a community that will know more about openMVG, like the discussion tab on their github.

OpenMVG (JSON, NVM, PLY)

I find openMVG very decent, FTXUI might be a good one and nlohmann's json library is also pretty nice. I don't really know of any project that strictly adheres to the core guidelines, except maybe for some of Jason Turner's (sample) projects.

I am looking for some pointers to papers/open-source software that can do fast and accurate depth estimation from multi-view videos. I am aware of colmap and OpenMVG software but was curious to know if there are others out there that outperform these. I am also interested in any state-of-the-art for depth estimation using unsupervised or self-supervised neural networks.

OpenMVG is super cool, and the project lead Pierre is very generous with his time.

Meshroom is just a Python wrapper for VSfM. OpenMVS seems like the package most customizers are starting to use. https://github.com/openMVG/openMVG