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Search results for deep learning geometry processing

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7 search results found

3dmatch Toolbox ⭐ 467

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Samplenet ⭐ 324

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Learning_to_sample ⭐ 160

A learned sampling approach for point clouds (CVPR 2019)

3dhighlighter ⭐ 70

Localizing Regions on 3D Shapes via Text Descriptions

Dual Dmp ⭐ 18

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks [ECCV 2022]

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

Point Planenet ⭐ 7

Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis

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