A Supervised Generative Model for Efficient Rendering of Medical Volume Datadoi:10.1109/EHB50910.2020.9279880Isosurfaces,Rendering (computer graphics),Neural networks,Training,Data models,Task analysis,Biomedical imagingComplex 3D and multidimensional medical data require significant computational resources to ...
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Additionally, for a 3D molecule generative model, it is crucial to generate molecules with favourable bindings in the target pockets. This assessment can be approached from two perspectives: binding mode with the pocket (interactions with the pocket) and the ligand’s strain energy, both of which...
and quantum-assisted algorithms have been proposed for both gate-based17,18and quantum annealing devices.19,20,21,22,23Differently from optimization, the learning of a generative model is not always described by a clear-cut objective function. All we are given as input is a data set, and th...
All the formulas for the top-bottom interlocking features are derived using the trigonometric relationship. This analysis is the basis for the parametric, generative design model that automatically generates the Computer-Aided-Design (CAD) model of feasible designs, including block geometry, layout, ...
First, the intrinsic complexity of this concept is contrasted with the need of a handy model that is easy to use also for non-experts. Further, each of the diverse application domains bring along their own requirements and conventions, which need to be matched by the generic underlying model ...
It supports multi-scale 3D face geometry estimation, high-quality portrait relighting, and free-viewpoint rendering. We employ a parametric-neural model to account for shape estimation, neural relighting, and implicit deep material modelling under a differentiable rendering pipeline. More importantly, ...
synthetic ShapeNet dataset only. During inference, we utilize this surface prior as additional constraint for surface and appearance reconstruction from sparse input views via differentiable volume rendering, restricting the space of possible solutions. We validate the effectiveness of our method on the ...