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. AARP offers savings & planning resources for all—members also ...
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 ...
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