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Classical photogrammetry, where I agree with u/tdgros that the way to go is https://colmap.github.io/. There are actually better variants in literature but nothing is more reliable and user-friendly than COLMAP. This will give you a very precise point cloud, that can be meshed if needed.
NeRF-like approaches, which currently means https://github.com/NVlabs/instant-ngp, at least for beginners. Even if the main goal is view synthesis rather than 3D reconstruction, you can extract a mesh from the learned density which can be quite precise, especially with enough input views.
Related posts
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- Photogrammetry of tiny plants! Multi view reconstruction.
- Magic123: One Image to High-Quality 3D Object Generation
- Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields