Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.

Abstract: Traditional image feature matching methods cannot obtain satisfactory results for multi-modal remote sensing images (MRSIs) in most cases because different imaging mechanisms bring ...

Abstract: In recent years, several retrieval methods for measuring the similarity between images and texts have been proposed. Despite the efficiency of most of these methods, the scalar-based cosine ...

Javascript must be enabled to use this site. Please enable Javascript in your browser and try again. Give today and help older adults facing poverty during Older ...

This is the official code implementation of 🍵 Matcha-TTS [ICASSP 2024]. We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses conditional flow matching (similar to ...

Matching isn't just for 401(k) plans anymore. Here's the scoop on the brokers and robo-advisors that offer an IRA contribution match. Many, or all, of the products featured on this page are from our ...