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02/27/2022
An Efficient End-to-End 3D Model Reconstruction based on Neural Architecture Search
Using neural networks to represent 3D objects has become popular. Howeve...
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01/19/2022
High-fidelity 3D Model Compression based on Key Spheres
In recent years, neural signed distance function (SDF) has become one of...
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05/31/2021
SN-Graph: a Minimalist 3D Object Representation for Classification
Using deep learning techniques to process 3D objects has achieved many s...
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01/11/2021
Spherical Transformer: Adapting Spherical Signal to ConvolutionalNetworks
Convolutional neural networks (CNNs) have been widely used in various vi...
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11/09/2020
Fast Hybrid Cascade for Voxel-based 3D Object Classification
Voxel-based 3D object classification has been frequently studied in rece...
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12/25/2019