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Found 3 papers, 3 papers with code
An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search
However, many previous works employ neural networks with fixed architecture and size to represent different 3D objects, which lead to excessive network parameters for simple objects and limited reconstruction accuracy for complex objects.
High-fidelity 3D Model Compression based on Key Spheres
Compared to previous works, our method achieves the high-fidelity and high-compression 3D object coding and reconstruction.
SN-Graph: a Minimalist 3D Object Representation for Classification
Using deep learning techniques to process 3D objects has achieved many successes.
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