PCM-NeRF improves neural surface reconstruction under uncertain camera poses by learning per-camera pose distributions and damping updates from high-uncertainty views.
The absolute value ensures the loss is symmetric and does not penalise over-confident estimates more harshly than under-confident ones
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PCM-NeRF: Probabilistic Camera Modeling for Neural Radiance Fields under Pose Uncertainty
PCM-NeRF improves neural surface reconstruction under uncertain camera poses by learning per-camera pose distributions and damping updates from high-uncertainty views.