Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching

arXiv:2610.01890 · cs.CV, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Adaptation — 22× in this paper · explained in 1 episode
• Domain Adaptation — 20× in this paper · explained in 5 episodes
• Flow Matching — 12× in this paper · explained in 8 episodes
• Core — 8× in this paper · explained in 2 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Normalizing Flow — 6× in this paper · explained in 3 episodes
• Normalizing Flows — 6× in this paper · explained in 4 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Flow Matching Model — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Ordinary Differential Equations (ODEs) — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Domain Shift — 1× in this paper · explained in 4 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• GPM Microwave Imager — 1× in this paper
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Global Precipitation Measurement — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes

Sources

• Flow Matching for Generative Modeling
• Building Normalizing Flows with Stochastic Interpolants
• Improving and generalizing flow-based generative models with minibatch optimal transport
• Denoising Diffusion Implicit Models
• NICE: Non-linear Independent Components Estimation
• Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory
• Dual Diffusion Implicit Bridges for Image-to-Image Translation

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