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.
Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.