2 papers
eess.IV2026
HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching
Anirban Ray, Ashesh Ashesh, Florian Jug
Fluorescence microscopy is a major driver of scientific progress in the life sciences. Although high-end confocal microscopes are capable of filtering out-of-focus light, cheaper a…
cs.CV2026
ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching
Anirban Ray, Vera Galinova, Florian Jug
Computational Super-Resolution (CSR) in fluorescence microscopy has, despite being an ill-posed problem, a long history. At its very core, CSR is about finding a prior that can be…