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An introduction to Flow Matching · Cambridge MLG Blog

Flow matching (FM) is a new generative modelling paradigm which is rapidly gaining popularity in the deep learning community. Flow matching combines aspects . ....

Chen Gopinath , Valentin Debortoli , James Thornton , Emile Mathieu , Rfdiffusion Watson , Monte Carlo , Vincent Dutordoir , Autoregressive Papamakarios , Flow Matching , Tor Fjelde , Continuous Normalising Flows , Diffusion Models , Restricted Boltzmann Machines , Normalising Flows , Van Den Berg , Conditional Flow Matching , Michael Albergo , Leveraging Sylvester ,

Stable Diffusion 3.0 debuts new diffusion transformation architecture to reinvent text-to-image gen AI

The new Stable Diffusion 3.0 model aims to provide improved image quality and better performance in generating images from multi-subject prompts. ....

New York , United States , Emad Mostaque , Stable Diffusion , Stable Cascade , Diffusion Transformers , Continuous Normalizing Flows , Conditional Flow Matching ,