2 papers
physics.ao-ph2026
Generative and deterministic deep learning models comparison for fine-scale precipitation retrievals from infrared brightness temperature
Matthieu Meignin, Cécile Mallet, Nicolas Viltard
Accurate precipitation estimation at fine spatial scales is critical for hydrology, agriculture, and climate studies. Infrared brightness temperatures from geostationary satellites…
cs.CV2026
Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching
Victor Enescu, Assaad Zeghina, Matthieu Meignin +2
Deep generative networks have recently achieved unprecedented performance in precise image and video editing using sophisticated textual prompts. However, the effectiveness of such…