Mesh Simplification based on edge-collapse algorithm

Header only mesh voxelizer in c99

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Convolutional Neural Network for 3D meshes in PyTorch

Subdivision-based Mesh Convolutional Networks.

Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoencoders. Although they demonstrate higher precision than tradi…

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)