Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

A list of papers and datasets about point cloud analysis (processing)

A list of resources about deep learning solutions on 3D shape processing

GPU-Voxels is a CUDA based library which allows high resolution volumetric collision detection between animated 3D models and live pointclouds from 3D sensors of all kinds.

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

Coming soon.

[ICCV 2021] "HPNet: Deep Primitive Segmentation Using Hybrid Representations"

[CVPR 2022] AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

Implementation of "Large Steps in Inverse Rendering of Geometry"

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond