SwiftGS predicts satellite 3D surfaces and renderings zero-shot via meta-learned Gaussian-SDF hybrid, reporting 1.22 m DSM MAE on DFC2019 at 2.5 min per scene.
Efficient meta-learning enabled lightweight multiscale few-shot object detection in remote sensing images
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SwiftGS: Episodic Priors for Immediate Satellite Surface Recovery
SwiftGS predicts satellite 3D surfaces and renderings zero-shot via meta-learned Gaussian-SDF hybrid, reporting 1.22 m DSM MAE on DFC2019 at 2.5 min per scene.