Apply generative diffusion models for seismic event localization from noisy waveforms. Benchmark against a CNN baseline. Provide reproducible scripts and pre-computed results. This repository provides ...
Diffusion Models: Probabilistic models that learn to denoise data through a gradual forward and reverse process Flow Matching (FM) Models: Continuous normalizing flows that learn straight probability ...
Abstract: Nowadays, diffusion-based methods for monocular 3D human pose estimation (3D HPE) have achieved state-of-the-art performance by directly regressing the 3D joint coordinates from the 2D ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team's Discrete Spatial ...
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Diffusion-based AI model successfully trained in electroplating
Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...
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