COVER is a new coverage metric that selects camera views by prioritizing insufficiently observed geometry, yielding better NeRF reconstructions than prior active selection methods.
Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36 (4):1–13
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Coverage Optimization for Camera View Selection
COVER is a new coverage metric that selects camera views by prioritizing insufficiently observed geometry, yielding better NeRF reconstructions than prior active selection methods.