Abstract: Edge Gaussian splatting (EGS), which aggregates data from distributed clients (e.g., drones) and trains a global GS model at the edge (e.g., ground server), is an emerging paradigm for scene ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
This repository contains the Computational Toolkit for Heat Coupled Gaussian Continuous-Wave Double-Pass Type-II Second Harmonic Generation, an open-source Fortran implementation developed to solve ...
ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...
(a) Disease progression can be classified into three states: the normal stage, pre-disease stage and disease stage, with the pre-disease stage representing a critical threshold just before the onset ...
In nasal endoscopic surgery, the narrow nasal cavity restricts the surgical field of view and the manipulation of surgical instruments. Therefore, precise real-time intraoperative navigation, which ...
First of all, thank you for your contribution! I'm trying out few things with your repository and it works great. In diffusion/gaussian_diffusion.py there is the below function ddim_deviation_sample.
If you had asked us yesterday “How do you 3D Print a Photo”, we would have said “well, that’s easy, do a lithophane”– but artist, hacker and man with a very relaxing voice [Wyatt Roy] has a much more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results