Extends NeRF with per-image appearance embeddings and pose corrections to reconstruct spacecraft 3D models from monocular images despite illumination variability and pose uncertainty.
Fast Learning of Non-Cooperative SpaceCraft 3D Models Through Primitive Initialization,
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
A neural implicit surface reconstruction pipeline for non-cooperative space objects from monocular on-orbit imagery, with segmentation for pose estimation and photometric correction, demonstrated on real ISS and H-IIA footage.
citing papers explorer
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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.
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From Images2Mesh: A 3D Surface Reconstruction Pipeline for Non-Cooperative Space Objects
A neural implicit surface reconstruction pipeline for non-cooperative space objects from monocular on-orbit imagery, with segmentation for pose estimation and photometric correction, demonstrated on real ISS and H-IIA footage.