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High-quality Surface Reconstruction using Gaussian Surfels
We propose a novel point-based representation, Gaussian surfels, to combine the advantages of the flexible optimization procedure in 3D Gaussian points and the surface alignment property of surfels.
SAR-to-Optical Image Translation via Thermodynamics-inspired Network
Synthetic aperture radar (SAR) is prevalent in the remote sensing field but is difficult to interpret in human visual perception.
Hybrid Mesh-neural Representation for 3D Transparent Object Reconstruction
We propose a novel method to reconstruct the 3D shapes of transparent objects using hand-held captured images under natural light conditions.
Graph neural network-based fault diagnosis: a review
Graph neural network (GNN)-based fault diagnosis (FD) has received increasing attention in recent years, due to the fact that data coming from several application domains can be advantageously represented as graphs.
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