Tag: reconstruction
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Enhancing diffusion models with Gaussianization preprocessing
Enhancing diffusion models with Gaussianization preprocessing arXiv:2512.21020v1 Announce Type: new Abstract: Diffusion models are a class of generative models that have demonstrated remarkable success in tasks such as image generation. However, one of the bottlenecks of these models is slow sampling due to the delay before the onset of trajectory bifurcation, at which point substantial…
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Master the 3D Reconstruction Process: A Step-by-Step Guide
Master the 3D Reconstruction Process: A Step-by-Step Guide The 3d Reconstruction journey from 2D photographs to 3D models follows a structured path. This path consists of distinct steps that build upon each other to transform flat images into spatial information. Understanding this pipeline is crucial for anyone looking to create high-quality 3D reconstructions. Let me…
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Uncertainty quantification and posterior sampling for network reconstruction
Uncertainty quantification and posterior sampling for network reconstruction arXiv:2503.07736v1 Announce Type: new Abstract: Network reconstruction is the task of inferring the unseen interactions between elements of a system, based only on their behavior or dynamics. This inverse problem is in general ill-posed, and admits many solutions for the same observation. Nevertheless, the vast majority of…