Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
An AI model from Michigan analyzes MRI studies with over 30 sequences in just three seconds on a single GPU – as accurate as ...
Additional visualizations highlighting the comparison between the proposed two-stage AG-VQ-VAE network (without skip connections) and the single-stage AG-UNet (with skip connections) are presented.
Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
A researcher at the Department of Physics at Tohoku University has uncovered a surprising quantum phenomenon hidden inside ordinary crystals: the strength of interactions between electrons and lattice ...
The availability of these models in multiple configurations ensures that they can be fine-tuned for specific tasks, whether in natural language processing, reasoning, or domain-specific applications.
For close to a century, scientists have been trying to marry Albert Einstein’s General Theory of Relativity and quantum theory—our two best bets on understanding the universe on a macroscopic and ...
ABSTRACT: We present a novel integrated mathematical and numerical framework for the nonlinear Schrödinger equation in open quantum systems under electromagnetic fields, with a particular focus on ...
Abstract: This paper presents a novel approach for codebook initialization in the well-established Vector Quantized-Variational AutoEncoder (VQ-VAE). Rapid Object Modeling (ROM), inspired by few-shot ...
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