A physics-informed untrained learning framework with RGB guidance achieves superior hyperspectral reconstruction and super-resolution from single-pixel data at 6.25% sampling rate without external training data.
Ghost Imaging Based on Deep Learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Physics-Informed Untrained Learning for RGB-Guided Superresolution Single-Pixel Hyperspectral Imaging
A physics-informed untrained learning framework with RGB guidance achieves superior hyperspectral reconstruction and super-resolution from single-pixel data at 6.25% sampling rate without external training data.