Blender-Addon-Photogrammetry-Importer VS OpenMVG (open Multiple View Geometry)

However, traditional methods (Like these photogrammetry addons: https://github.com/SBCV/Blender-Addon-Photogrammetry-Importer, https://www.blendermarket.com/products/pcv ) haven’t worked, due to the reference images these being varying quality screenshots, rather than actual uniform photos. I had the idea of somehow using photogrammetry software to align these images (Creating a point cloud), and importing the aligned files into Blender, but that hasn’t been successful.

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