Photogrammetry requires a lot of manual cleanup and retopology work, but it's worth the trouble because it captures a lot of extremely fine detail which can be baked down into textures and applied to the manually refined model. It's not really clear to me that NeRFs are producing enough detail to warrant that cleanup effort, rather than modelling something from scratch.

I would be interested to see a comparison of conventional SOTA photogrammetry pipelines versus NeRF techniques solving a 3D model from the same set of photos, but these papers only ever seem to compare themselves to other NeRF papers, rather than the software that the industry is already using to solve this exact problem.