Articles tagged: "machine-learning"
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prx-tg: Accelerating Pixel-Space Diffusion with Asymmetric Flow Matching
The evolution of text-to-image synthesis is currently undergoing a profound architectural realignment. For years, the dominant paradigm relied on Variational Autoencoders (VAEs) to compress high-dimensional pixel data into a mathematically...