NeRF-based image augmentation enables accurate target-specific spacecraft pose estimators to be trained from only 25-400 real images without CAD models or large synthetic datasets.
Leveraging neural radiance fields for pose estimation of an unknown space object during proximity operations,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Extends NeRF with per-image appearance embeddings and pose corrections to reconstruct spacecraft 3D models from monocular images despite illumination variability and pose uncertainty.
citing papers explorer
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CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations
NeRF-based image augmentation enables accurate target-specific spacecraft pose estimators to be trained from only 25-400 real images without CAD models or large synthetic datasets.
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NeRF-based Spacecraft Reconstruction from Monocular Imagery Under Illumination Variability and Pose Uncertainty
Extends NeRF with per-image appearance embeddings and pose corrections to reconstruct spacecraft 3D models from monocular images despite illumination variability and pose uncertainty.