A minimal PyTorch implementation of Flow Matching for Generative Modeling. This repository implements conditional flow matching with optimal transport probability paths using a U-Net architecture.

Abstract: Pavement cracks have a highly complex spatial structure, a low contrasting background and a weak spatial continuity, posing a significant challenge to an effective crack detection method. To ...

Abstract: This letter establishes transient models of current-limited grid-forming doubly fed induction generator (GFM-DFIG) that incorporate the dynamics of the voltage controller. Based on the ...

Accurately modeling steady-state two-phase flow is critical for the design and operation of systems in the oil and gas industry; however, traditional models often struggle to adapt to specific field ...

NICE (Non-linear Independent Components Estimation) is a flow-based generative model for density estimation and sample generation, leveraging reversible transformations for efficient computation. This ...