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the first step of NeRF is camera registration. people seem to use colmap (for real data, not synthesized data), but I always get very bad results. I don't know
by billconan 6y ago
the first step of NeRF is camera registration. people seem to use colmap (for real data, not synthesized data), but I always get very bad results. I don't know why.
I have tried meshroom too, the result is equally bad.
- nestorD 6y agoIs your camera at equal distance to the object in all photographs? NeRF has troubles with variation in the distance between the object and camera (which Mip-NeRF [0] solves). [0]: https://youtu.be/EpH175PY1A0 https://youtu.be/EpH175PY1A0
- namibj 6y agoTry https://github.com/AIBluefisher/DAGSfM https://github.com/AIBluefisher/DAGSfM , it's graph-based approach is much more robust to common repetitive and only-partially-similar image content.
- m3at 6y agoThe "Nerf--" paper [1] attempt to tackle that with a directly comparable method. You might also be interested in this [2] slightly different approach that focus on a more explicit decomposition. [1] https://nerfmm.active.vision/ https://nerfmm.active.vision/ [2] https://lioryariv.github.io/idr/ https://lioryariv.github.io/idr/